The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

Afgan, Enis; Baker, Dannon; Beek, Marius van den; Blankenberg, Daniel; Bouvier, Dave; Čech, Martin; Chilton, John; Clements, Dave; Coraor, Nate; Eberhard, Carl; Grüning, Björn; Guerler, Aysam; Hillman‐Jackson, Jennifer; Kuster, Greg Von; Rasche, Eric; Soranzo, Nicola; Turaga, Nitesh; Taylor, James; Nekrutenko, Anton; Goecks, Jeremy

doi:10.1093/nar/gkw343

articleNucleic Acids ResearchMay 2, 2016GOLD OA

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

EAEnis Afgan DBDannon Baker MVMarius van den Beek DBDaniel Blankenberg DBDave Bouvier

Johns Hopkins University · Sorbonne Université · +7 more institutions

PubMed

Indexed incrossrefdoajpubmed

Abstract

High-throughput data production technologies, particularly 'next-generation' DNA sequencing, have ushered in widespread and disruptive changes to biomedical research. Making sense of the large datasets produced by these technologies requires sophisticated statistical and computational methods, as well as substantial computational power. This has led to an acute crisis in life sciences, as researchers without informatics training attempt to perform computation-dependent analyses. Since 2005, the Galaxy project has worked to address this problem by providing a framework that makes advanced computational tools usable by non experts. Galaxy seeks to make data-intensive research more accessible, transparent and…

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Biology
Computational biology
Data science
Computer science

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