J
John Chilton
Researcher at Pennsylvania State University
Publications - 33
Citations - 5635
John Chilton is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Workflow & Cloud computing. The author has an hindex of 14, co-authored 31 publications receiving 3825 citations. Previous affiliations of John Chilton include University of Minnesota.
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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.
Common Workflow Language, v1.0
Peter Amstutz,Michael R. Crusoe,Nebojsa Tijanic,Brad Chapman,John Chilton,Michael Heuer,Andrey V. Kartashov,Dan Leehr,Hervé Ménager,Maya Nedeljkovich,Matt Scales,Stian Soiland-Reyes,Luka Stojanovic +12 more
TL;DR: The Common Workflow Language (CWL) is designed to express workflows for data-intensive science, such as Bioinformatics, Medical Imaging, Chemistry, Physics, and Astronomy.
Journal ArticleDOI
NCBI BLAST+ integrated into Galaxy.
TL;DR: The integration of the BLAST+ tool suite into Galaxy has the goal of making common BLAST tasks easy and advanced tasks possible.
Journal ArticleDOI
Multi-omic data analysis using Galaxy
Jorrit Boekel,John Chilton,Ira Cooke,Peter Horvatovich,Pratik D. Jagtap,Lukas Käll,Janne Lehtiö,Pieter Lukasse,Perry D. Moerland,Timothy J. Griffin +9 more
TL;DR: Galaxy 8 can be used as one solution to the problem of integrated analysis of raw multi-omic data, demanding the use of disparate software programs and requiring computational resources beyond the capacity of most biological research laboratories.