TY - JOUR
T1 - The Galaxy platform for accessible, reproducible and collaborative biomedical analyses
T2 - 2020 update
AU - Jalili, Vahid
AU - Afgan, Enis
AU - Gu, Qiang
AU - Clements, Dave
AU - Blankenberg, Daniel
AU - Goecks, Jeremy
AU - Taylor, James
AU - Nekrutenko, Anton
N1 - Funding Information:
Usegalaxy.org efforts are funded by NIH Grants [U41 HG006620] and NSF ABI Grant [1661497]; Usegalaxy.eu is supported by the German Federal Ministry of Education and Research grants [031L0101C]; de.NBI-epi; Usegalaxy.org.au is supported by Bioplatforms Australia and the Australian Research Data Commons through funding from the Australian Government National Collaborative Research Infrastructure Strategy. Funding for open access charge: NIH Grants [U41 HG006620]. Conflict of interest statement. The potential conflict of interest has been reviewed and managed by Johns Hopkins University (E.A. and J.T.), Oregon Health and Science University (J.G.), Cleveland Clinic (D.B.) and Pennsylvania State University (A.N.).
Publisher Copyright:
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.
PY - 2021
Y1 - 2021
N2 - Galaxy (https://galaxyproject.org) is a web-based computational workbench used by tens of thousands of scientists across the world to analyze large biomedical datasets. Since 2005, the Galaxy project has fostered a global community focused on achieving accessible, reproducible, and collaborative research. Together, this community develops the Galaxy software framework, integrates analysis tools and visualizations into the framework, runs public servers that make Galaxy available via a web browser, performs and publishes analyses using Galaxy, leads bioinformatics workshops that introduce and use Galaxy, and develops interactive training materials for Galaxy. Over the last two years, all aspects of the Galaxy project have grown: code contributions, tools integrated, users, and training materials. Key advances in Galaxy’s user interface include enhancements for analyzing large dataset collections as well as interactive tools for exploratory data analysis. Extensions to Galaxy’s framework include support for federated identity and access management and increased ability to distribute analysis jobs to remote resources. New community resources include large public servers in Europe and Australia, an increasing number of regional and local Galaxy communities, and substantial growth in the Galaxy Training Network.
AB - Galaxy (https://galaxyproject.org) is a web-based computational workbench used by tens of thousands of scientists across the world to analyze large biomedical datasets. Since 2005, the Galaxy project has fostered a global community focused on achieving accessible, reproducible, and collaborative research. Together, this community develops the Galaxy software framework, integrates analysis tools and visualizations into the framework, runs public servers that make Galaxy available via a web browser, performs and publishes analyses using Galaxy, leads bioinformatics workshops that introduce and use Galaxy, and develops interactive training materials for Galaxy. Over the last two years, all aspects of the Galaxy project have grown: code contributions, tools integrated, users, and training materials. Key advances in Galaxy’s user interface include enhancements for analyzing large dataset collections as well as interactive tools for exploratory data analysis. Extensions to Galaxy’s framework include support for federated identity and access management and increased ability to distribute analysis jobs to remote resources. New community resources include large public servers in Europe and Australia, an increasing number of regional and local Galaxy communities, and substantial growth in the Galaxy Training Network.
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U2 - 10.1093/NAR/GKAA434
DO - 10.1093/NAR/GKAA434
M3 - Article
C2 - 32479607
AN - SCOPUS:85087320554
SN - 0305-1048
VL - 48
SP - W395-W402
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - W1
ER -