Nathaniel Coraor
Pennsylvania State University
7 Papers
Nathaniel Coraor is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Web application & Troubleshooting. The author has an hindex of 2, co-authored 3 publications.
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Papers
Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists
Daniel Blankenberg,Gregory Von Kuster,Nathaniel Coraor,Guruprasad Ananda,Ross Lazarus,Ross Lazarus,Mary E. Mangan,Anton Nekrutenko,James Taylor,James Taylor +9 more
TL;DR: Galaxy is a software system that provides informatics support through a framework that gives experimentalists simple interfaces to powerful tools, while automatically managing the computational details.
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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,Nathaniel 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
- 22 May 2018
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.
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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update
Enis Afgan,Anton Nekrutenko,Björn Grüning,Daniel Blankenberg,Jeremy Goecks,Michael C. Schatz,Alexander E. Ostrovsky,Alexandru Mahmoud,Andrew Lonie,Anna Syme,Anne Fouilloux,Anthony Bretaudeau,Anup Kumar,Arthur C. Eschenlauer,Assunta D. Desanto,Aysam Guerler,Beatriz Serrano-Solano,Bérénice Batut,Bradley W. Langhorst,Bridget Carr,Bryan Raubenolt,Cameron J. Hyde,Catherine J. Bromhead,Christopher B. Barnett,Coline Royaux,Cristóbal L. García Gallardo,Daniel Fornika,Dannon Baker,Dave Bouvier,Dave Clements,David A. de Lima Morais,David Lopez Tabernero,Delphine Larivière,E. Nasr,Federico Zambelli,Florian Heyl,Fotis Psomopoulos,Frederik Coppens,Gareth Price,Gianmauro Cuccuru,Gildas Le Corguillé,Gregory Von Kuster,Gulsum Gudukbay,Helena Rasche,Hans-Rudolf Hotz,Ignacio Eguinoa,Igor V. Makunin,Isuru Ranawaka,James Taylor,Jayadev Joshi,Jennifer Hillman-Jackson,John Chilton,Kaivan Kamali,Keith Suderman,Krzysztof Poterlowicz,Yvan Le Bras,Lucille Lopez-Delisle,Luke Sargent,Madeline E. Bassetti,M. A. Tangaro,Marius van den Beek,Martin Čech,Matthias Bernt,Matthias Fahrner,Mehmet Tekman,Melanie Föll,Michael R. Crusoe,Miguel Angel Roncoroni,N. K. Kucher,Nathaniel Coraor,Nicholas Stoler,Nick Rhodes,Nicola Soranzo,Niko Pinter,Nuwan Goonasekera,Pablo Moreno,Pavankumar Videm,Petera Melanie,Pietro Mandreoli,Pratik D. Jagtap,Qiang Gu,Ralf J. M. Weber,Ross Lazarus,Ruben H.P. Vorderman,Saskia Hiltemann,Sergey Golitsynskiy,Shilpa Garg,Simon Bray,Simon Gladman,Simone Leo,Subina Mehta,Timothy J. Griffin,Vahid Jalili,Yves Vandenbrouck,Vi-Kwei Wen,Vijaykrishna Nagampalli,W. Bacon,W. L. De Koning,Wolf-Martin Maier,P. J. Briggs +99 more
TL;DR: Key Galaxy technical developments include an improved user interface for launching large-scale analyses with many files, interactive tools for exploratory data analysis, and a complete suite of machine learning tools.
Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring
Wolfgang Maier,Simon Bray,Marius van den Beek,Dave Bouvier,Nathaniel Coraor,Milad Miladi,Babita Singh,Jordi Rambla De Argila,Dannon Baker,Nathan P. Roach,Simon Gladman,Frederik Coppens,Darren P. Martin,Andrew Lonie,Björn Grüning,Sergei L Kosakovsky Pond,Anton Nekrutenko +16 more
TL;DR: The COVID-19 pandemic is the first global health crisis to occur in the age of big genomic data as mentioned in this paper, which is why it is necessary to pull together global computational resources and deliver the best open source tools and analysis workflows within a ready to use, universally accessible resource.
Fast and accurate genome-wide predictions and structural modeling of protein-protein interactions using Galaxy
Aysam Guerler,Dannon Baker,van den Beek M,Dave Bouvier,Nathaniel Coraor,Michael C. Schatz,Anton Nekrutenko +6 more
TL;DR: In this article, a publicly available, automated pipeline to predict genome-wide protein-protein interactions and produce high-quality multimeric structural models is presented, which is capable of confidently identifying interactions while providing high quality multi-component structural models for experimental validation.