A case study for cloud based high throughput analysis of NGS data using the globus genomics system

Next generation sequencing (NGS) technologies produce massive amounts of data requiring a powerful computational infrastructure, high quality bioinformatics software, and skilled personnel to operate the tools. We present a case study of a practical solution to this data management and analysis chal...

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Bibliographic Details
Published in:Computational and structural biotechnology journal 2015-01, Vol.13 (C)
Main Authors: Bhuvaneshwar, Krithika, Sulakhe, Dinanath, Gauba, Robinder, Rodriguez, Alex, Madduri, Ravi, Dave, Utpal, Lacinski, Lukasz, Foster, Ian, Gusev, Yuriy, Madhavan, Subha
Format: Article
Language:English
Subjects:
cloud computing
galaxy
MATHEMATICS AND COMPUTING
next generation sequencing
translational research
Online Access:Get full text
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Summary:Next generation sequencing (NGS) technologies produce massive amounts of data requiring a powerful computational infrastructure, high quality bioinformatics software, and skilled personnel to operate the tools. We present a case study of a practical solution to this data management and analysis challenge that simplifies terabyte scale data handling and provides advanced tools for NGS data analysis. These capabilities are implemented using the “Globus Genomics” system, which is an enhanced Galaxy workflow system made available as a service that offers users the capability to process and transfer data easily, reliably and quickly to address end-to-end NGS analysis requirements. The Globus Genomics system is built on Amazon's cloud computing infrastructure. The system takes advantage of elastic scaling of compute resources to run multiple workflows in parallel and it also helps meet the scale-out analysis needs of modern translational genomics research.
ISSN:2001-0370
2001-0370
DOI:10.1016/j.csbj.2014.11.001