TY - JOUR
T1 - The Galaxy platform for accessible, reproducible and collaborative biomedical analyses
T2 - 2016 update
AU - Afgan, Enis
AU - Baker, Dannon
AU - van den Beek, Marius
AU - Blankenberg, Daniel
AU - Bouvier, Dave
AU - Čech, Martin
AU - Chilton, John
AU - Clements, Dave
AU - Coraor, Nate
AU - Eberhard, Carl
AU - Grüning, Björn
AU - Guerler, Aysam
AU - Hillman-Jackson, Jennifer
AU - Kuster, Greg Von
AU - Rasche, Eric
AU - Soranzo, Nicola
AU - Turaga, Nitesh
AU - Taylor, James
AU - Nekrutenko, Anton
AU - Goecks, Jeremy
N1 - Funding Information:
Over the years numerous individuals have contributed their time, talents and skills to building this project. These include the members of the Galaxy user and developer communities and organizers of Galaxy Community Conferences. We are indebted to these helpful people. The Public Galaxy site is located at the Texas Advanced Computing Center (TACC at the University of Texas). We are extremely grateful to both TACC and CyVerse for enabling Galaxy to serve thousands of researchers worldwide. This project is supported through grant number HG006620 from the National Human Genome Research Institute, National Institutes of Health as well as grants HG005133, HG004909 and HG005542 and NSF grants DBI 0543285 and 0850103. Additional funding is provided by Huck Institutes for the Life Sciences at Penn State and, in part, under a grant with the Pennsylvania Department of Health using Tobacco Settlement Funds. The Department specifically disclaims responsibility for any analyses, interpretations or conclusions.
Funding Information:
Funding for open access charge: National Institutes of Health (NIH) [U41 HG006620-05].
Publisher Copyright:
© The Author(s) 2016.
PY - 2016/7/8
Y1 - 2016/7/8
N2 - 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.
AB - 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.
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U2 - 10.1093/nar/gkw343
DO - 10.1093/nar/gkw343
M3 - Article
C2 - 27137889
AN - SCOPUS:84973094812
VL - 44
SP - W3-W10
JO - Nucleic Acids Research
JF - Nucleic Acids Research
SN - 0305-1048
IS - W1
ER -