D
Dannon Baker
Researcher at Johns Hopkins University
Publications - 23
Citations - 5583
Dannon Baker is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 11, co-authored 22 publications receiving 3812 citations. Previous affiliations of Dannon Baker include Emory University.
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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.
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KrakenUniq: confident and fast metagenomics classification using unique k -mer counts
TL;DR: KrakenUniq is a novel metagenomics classifier that combines the fast k-mer-based classification of Kraken with an efficient algorithm for assessing the coverage of unique k-mers found in each species in a dataset by using the probabilistic cardinality estimator HyperLogLog.
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Dissemination of scientific software with Galaxy ToolShed
Daniel Blankenberg,Gregory Von Kuster,Emil Bouvier,Dannon Baker,Enis Afgan,Nicholas Stoler,James Taylor,Anton Nekrutenko +7 more
TL;DR: The proliferation of web-based integrative analysis frameworks has enabled users to perform complex analyses directly through the web but revoked the freedom to easily select the most appropriate tools, so Galaxy ToolShed is developed.
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Galaxy CloudMan: delivering cloud compute clusters
TL;DR: A cloud resource management system that makes it possible for individual researchers to compose and control an arbitrarily sized compute cluster on Amazon’s EC2 cloud infrastructure without any informatics requirements, and provides an automated method for building custom deployments of cloud resources.