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Harnessing cloud computing with Galaxy Cloud

Authors :
Anton Nekrutenko
Ian M. Paul
Kateryna D. Makova
Enis Afgan
Hiroki Goto
Nate Coraor
Dannon Baker
James Taylor
Source :
Nature biotechnology
Publication Year :
2011
Publisher :
Springer Science and Business Media LLC, 2011.

Abstract

As next-generation sequencing becomes an indispensible tool for biomedical research, it is crucial to provide analysis solutions that are usable and cost effective for biomedical researchers. Galaxy Cloud addresses this by combining the accessible Galaxy interface with automated management of cloud computing resources. Unlike purpose-built solutions, Galaxy allows users either to use existing tested best practices in the form of workflows or to construct their own analyses for novel tasks. Galaxy Cloud instances are owned and controlled entirely by the user who created them and can be used effectively in secure private clouds. Thus, Galaxy Cloud provides a solution that retains user control and privacy, makes complex analysis accessible and enables the use of practically limitless on-demand computing resources.

Details

ISSN :
15461696 and 10870156
Volume :
29
Database :
OpenAIRE
Journal :
Nature Biotechnology
Accession number :
edsair.doi.dedup.....7649c57c68c4e2f347d781a87df0dc2a
Full Text :
https://doi.org/10.1038/nbt.2028