The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update

Enis Afgan(Johns Hopkins University), Dannon Baker(Johns Hopkins University), Bérénice Batut(University of Freiburg), Marius van den Beek(Université Paris Sciences et Lettres), Dave Bouvier(Pennsylvania State University), Martin Čech(Pennsylvania State University), John Chilton(Pennsylvania State University), Dave Clements(Johns Hopkins University), Nate Coraor(Pennsylvania State University), Björn Grüning(University of Freiburg), Aysam Guerler(Johns Hopkins University), Jennifer Hillman‐Jackson(Pennsylvania State University), Saskia Hiltemann(Erasmus MC), Vahid Jalili(Oregon Health & Science University), Helena Rasche(University of Freiburg), Nicola Soranzo(Norwich Research Park), Jeremy Goecks(Oregon Health & Science University), James Taylor(Johns Hopkins University), Anton Nekrutenko(Pennsylvania State University), Daniel Blankenberg(Cleveland Clinic Lerner College of Medicine)
Nucleic Acids Research
May 3, 2018
Cited by 3,911Open Access
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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.


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