Pregled bibliografske jedinice broj: 740454
Galaxy cluster to cloud - genomics at scale
Galaxy cluster to cloud - genomics at scale // GCE '14 Proceedings of the 9th Gateway Computing Environments Workshop / SIGARCH, ACM, IEEE, SIGHPC (ur.).
New Orleans (LA), Sjedinjene Američke Države: IEEE Press Piscataway, ©2014, 2014. str. 47-50 (predavanje, međunarodna recenzija, sažetak, stručni)
CROSBI ID: 740454 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Galaxy cluster to cloud - genomics at scale
Autori
Afgan, Enis ; Baker, Dannon ; Chilton, John ; Coraor, Nate ; Taylor, James
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, stručni
Izvornik
GCE '14 Proceedings of the 9th Gateway Computing Environments Workshop
/ SIGARCH, ACM, IEEE, SIGHPC - : IEEE Press Piscataway, ©2014, 2014, 47-50
ISBN
978-1-4799-7030-8
Skup
9th Gateway Computing Environments Workshop (GCE) at Supercomputing (SC)
Mjesto i datum
New Orleans (LA), Sjedinjene Američke Države, 16.11.2014. - 21.11.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Cloud; Genomics; Galaxy
Sažetak
Fueled by the radically increased capacity to generate data over the past decade, the field of biomedical research has been constrained by the ability to analyze data. Galaxy, an open genomics and biomedical research platform, has been democratizing access to data analysis tools with its effective and accessible web interface. However, the scale of data and the scope of tools required have proven to be a significant challenge for any monolithic deployment of the Galaxy application. We have found that a distributed and federated approach to utilizing compute and storage resources is necessary. This paper describes the ongoing efforts in creating a ubiquitous platform capable of simultaneously utilizing dedicated as well as on- demand cloud resources.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Računarstvo
