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Using cloud computing infrastructure with CloudBioLinux, CloudMan, and Galaxy.
Afgan, Enis; Chapman, Brad; Jadan, Margita; Franke, Vedran; Taylor, James.
Affiliation
  • Afgan E; Center for Informatics and Computing, Ruder Boskovic Institute (RBI), Zagreb, Croatia.
  • Chapman B; Department of Biology and Department of Mathematics and Computer Science, Emory University, Atlanta, Georgia.
  • Jadan M; Harvard School of Public Health, Boston, Massachusetts.
  • Franke V; Division of Materials Chemistry, Laboratory for Ichthyopathology-Biological Materials, Ruder Boskovic Institute (RBI), Zagreb, Croatia.
  • Taylor J; Department of Biology, University of Zagreb, Zagreb, Croatia.
Curr Protoc Bioinformatics ; Chapter 11: 11.9.1-11.9.20, 2012 Jun.
Article in En | MEDLINE | ID: mdl-22700313
ABSTRACT
Cloud computing has revolutionized availability and access to computing and storage resources, making it possible to provision a large computational infrastructure with only a few clicks in a Web browser. However, those resources are typically provided in the form of low-level infrastructure components that need to be procured and configured before use. In this unit, we demonstrate how to utilize cloud computing resources to perform open-ended bioinformatic analyses, with fully automated management of the underlying cloud infrastructure. By combining three projects, CloudBioLinux, CloudMan, and Galaxy, into a cohesive unit, we have enabled researchers to gain access to more than 100 preconfigured bioinformatics tools and gigabytes of reference genomes on top of the flexible cloud computing infrastructure. The protocol demonstrates how to set up the available infrastructure and how to use the tools via a graphical desktop interface, a parallel command-line interface, and the Web-based Galaxy interface.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Computational Biology / Internet Language: En Journal: Curr Protoc Bioinformatics Year: 2012 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Computational Biology / Internet Language: En Journal: Curr Protoc Bioinformatics Year: 2012 Document type: Article Affiliation country:
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