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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update.
Afgan, Enis; Baker, Dannon; Batut, Bérénice; van den Beek, Marius; Bouvier, Dave; Cech, Martin; Chilton, John; Clements, Dave; Coraor, Nate; Grüning, Björn A; Guerler, Aysam; Hillman-Jackson, Jennifer; Hiltemann, Saskia; Jalili, Vahid; Rasche, Helena; Soranzo, Nicola; Goecks, Jeremy; Taylor, James; Nekrutenko, Anton; Blankenberg, Daniel.
Affiliation
  • Afgan E; Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
  • Baker D; Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
  • Batut B; Department of Computer Science, Albert-Ludwigs-University, Freiburg, Freiburg, Germany.
  • van den Beek M; Institut Curie, PSL Research University, Paris, France.
  • Bouvier D; Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
  • Cech M; Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
  • Chilton J; Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
  • Clements D; Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
  • Coraor N; Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
  • Grüning BA; Department of Computer Science, Albert-Ludwigs-University, Freiburg, Freiburg, Germany.
  • Guerler A; Center for Biological Systems Analysis (ZBSA), University of Freiburg, Freiburg, Germany.
  • Hillman-Jackson J; Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
  • Hiltemann S; Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
  • Jalili V; Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Rasche H; Department of Biomedical Engineering, Oregon Health and Science University, OR, USA.
  • Soranzo N; Department of Computer Science, Albert-Ludwigs-University, Freiburg, Freiburg, Germany.
  • Goecks J; Earlham Institute, Norwich Research Park, Norwich, UK.
  • Taylor J; Department of Biomedical Engineering, Oregon Health and Science University, OR, USA.
  • Nekrutenko A; Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
  • Blankenberg D; Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
Nucleic Acids Res ; 46(W1): W537-W544, 2018 07 02.
Article in En | MEDLINE | ID: mdl-29790989
ABSTRACT
Galaxy (homepage https//galaxyproject.org, main public server https//usegalaxy.org) is a web-based scientific analysis platform used by tens of thousands of scientists across the world to analyze large biomedical datasets such as those found in genomics, proteomics, metabolomics and imaging. Started in 2005, Galaxy continues to focus on three key challenges of data-driven biomedical science making analyses accessible to all researchers, ensuring analyses are completely reproducible, and making it simple to communicate analyses so that they can be reused and extended. During the last two years, the Galaxy team and the open-source community around Galaxy have made substantial improvements to Galaxy's core framework, user interface, tools, and training materials. Framework and user interface improvements now enable Galaxy to be used for analyzing tens of thousands of datasets, and >5500 tools are now available from the Galaxy ToolShed. The Galaxy community has led an effort to create numerous high-quality tutorials focused on common types of genomic analyses. The Galaxy developer and user communities continue to grow and be integral to Galaxy's development. The number of Galaxy public servers, developers contributing to the Galaxy framework and its tools, and users of the main Galaxy server have all increased substantially.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: User-Computer Interface / Genomics / Proteomics / Metabolomics / Molecular Imaging Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2018 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: User-Computer Interface / Genomics / Proteomics / Metabolomics / Molecular Imaging Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2018 Document type: Article Affiliation country: United States