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Nate Coraor
Researcher at Pennsylvania State University
Publications - 15
Citations - 4706
Nate Coraor is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Cloud computing & Interoperability. The author has an hindex of 9, co-authored 15 publications receiving 3328 citations.
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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update
Enis Afgan,Dannon Baker,Bérénice Batut,Marius van den Beek,Dave Bouvier,Martin Čech,John Chilton,Dave Clements,Nate Coraor,Björn Grüning,Aysam Guerler,Jennifer Hillman-Jackson,Saskia Hiltemann,Vahid Jalili,Helena Rasche,Nicola Soranzo,Jeremy Goecks,James Taylor,Anton Nekrutenko,Daniel Blankenberg +19 more
TL;DR: Improvements to Galaxy's core framework, user interface, tools, and training materials enable Galaxy to be used for analyzing tens of thousands of datasets, and >5500 tools are now available from the Galaxy ToolShed.
Journal ArticleDOI
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update
Enis Afgan,Dannon Baker,Marius van den Beek,Daniel Blankenberg,Dave Bouvier,Martin Čech,John Chilton,Dave Clements,Nate Coraor,Carl Eberhard,Björn Grüning,Aysam Guerler,Jennifer Hillman-Jackson,Gregory Von Kuster,Eric Rasche,Nicola Soranzo,Nitesh Turaga,James Taylor,Anton Nekrutenko,Jeremy Goecks +19 more
TL;DR: 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.
Journal ArticleDOI
Harnessing cloud computing with Galaxy Cloud.
Enis Afgan,Dannon Baker,Nate Coraor,Hiroki Goto,Ian M. Paul,Kateryna D. Makova,Anton Nekrutenko,James Taylor +7 more
TL;DR: Galaxy Cloud provides a solution that retains user control and privacy, makes complex analysis accessible and enables the use of practically limitless on-demand computing resources.
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Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers.
Björn Grüning,Eric Rasche,Boris Rebolledo-Jaramillo,Carl Eberhard,Torsten Houwaart,John Chilton,Nate Coraor,Rolf Backofen,James Taylor,Anton Nekrutenko +9 more
TL;DR: A hybrid platform combining common analysis pathways with the ability to explore data interactively is described, which aims to fully encompass and simplify the "raw data-to-publication" pathway and make it reproducible.
Journal ArticleDOI
NGS analyses by visualization with Trackster
TL;DR: The Trackster visual analysis environment is built into the Galaxy tool-integration and analysis platform, a tool integration framework that allows nearly any tool to be integrated into Galaxy, including many popular tools used for high-throughput analysis.