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

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 meth...

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Bibliographic Details

Published in:	Nucleic acids research Vol. 44; no. W1; pp. W3 - W10
Main Authors:	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
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 08.07.2016
Subjects:	Bioengineering Biomedical Research Computational Biology - methods Computational Biology - statistics & numerical data Databases, Genetic Datasets as Topic - statistics & numerical data Humans Internet Life Sciences Reproducibility of Results User-Computer Interface Web Server issue
ISSN:	0305-1048, 1362-4962
Online Access:	Get full text
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