Nathan Coraor
Pennsylvania State University
5 Papers
26 Citations
Nathan Coraor is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Converged infrastructure & FASTQ format. The author has an hindex of 4, co-authored 5 publications. Previous affiliations of Nathan Coraor include Emory University & Watson School of Biological Sciences.
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Papers
Manipulation of FASTQ data with Galaxy
Daniel Blankenberg,Assaf Gordon,Gregory Von Kuster,Nathan Coraor,James Taylor,Anton Nekrutenko +5 more
TL;DR: A tool suite that functions on all of the commonly known FASTQ format variants and provides a pipeline for manipulating next generation sequencing data taken from a sequencing machine all the way through the quality filtering steps is described.
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Integrating diverse databases into an unified analysis framework: a Galaxy approach.
TL;DR: A generic approach is described that provides for the integration of a diverse spectrum of data resources into a unified analysis framework, Galaxy, that allows the simplified coupling of external data resources with the data analysis tools available to Galaxy users, while leveraging the native data mining facilities of the external data Resources.
Ready-to-use public infrastructure for global SARS-CoV-2 monitoring.
Enhancing pre-defined workflows withad hocanalytics using Galaxy, Docker and Jupyter
Björn Grüning,Eric Rasche,Eric Rasche,Eric Rasche,Eric Rasche,Eric Rasche,Eric Rasche,Boris Rebolledo Jaramillo,Carl Eberhard,Torsten Houwaart,John Chilton,Nathan Coraor,Rolf Backofen,James Taylor,Anton Nekrutenko +14 more
TL;DR: A hybrid platform combining common analysis pathways with exploratory environments is described, which aims at fully encompassing and simplifying the “raw data-to-publication” pathway and making it reproducible.
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.