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

Afgan, Enis; Baker, Dannon; van den Beek, Marius; Blankenberg, Daniel; Bouvier, Dave; Čech, Martin; Chilton, John; Clements, Dave; Coraor, Nate; Eberhard, Carl; Grüning, Björn; Guerler, Aysam; Hillman-Jackson, Jennifer; Von Kuster, Greg; Rasche, Eric; Soranzo, Nicola; Turaga, Nitesh; Taylor, James; Nekrutenko, Anton; Goecks, Jeremy (2016) The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research, 44 (W1). W1-3. ISSN 0305-1048

HTML - Published Version - article Download (81kB)

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 reproducible by providing a Web-based environment in which users can perform computational analyses and have all of the details automatically tracked for later inspection, publication, or reuse. In this report we highlight recently added features enabling biomedical analyses on a large scale.

Item Type:	Article
Additional Information:	Funding for open access charge: National Institutes of Health (NIH) [U41 HG006620-05].
Uncontrolled Keywords:	bioinformatics; galaxy application; data analysis
Subjects:	TECHNICAL SCIENCES > Computing > Information Systems BIOTECHNICAL SCIENCES > Biotechnology > Bioinformatics
Divisions:	Center for Informatics and Computing
Depositing User:	Enis Afgan
Date Deposited:	21 Nov 2017 15:46
URI:	http://fulir.irb.hr/id/eprint/3677
DOI:	10.1093/nar/gkw343

Actions (login required)

View Item