The role of high performance, grid and cloud computing in high-throughput sequencing

Gaye Lightbody; Fiona Browne; Huiru Zheng; Valeriia Haberland; Jaine Blayney

doi:10.1109/BIBM.2016.7822643

2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

The role of high performance, grid and cloud computing in high-throughput sequencing

Year: 2016, Pages: 890-895

DOI Bookmark: 10.1109/BIBM.2016.7822643

Authors

Gaye Lightbody, School of Computing and Mathematics, University of Ulster, Newtownabbey, United Kingdom
Fiona Browne, School of Computing and Mathematics, University of Ulster, Newtownabbey, United Kingdom
Huiru Zheng, School of Computing and Mathematics, University of Ulster, Newtownabbey, United Kingdom
Valeriia Haberland, Tungsten Centre for Intelligent, Data Analytics, Goldsmiths, University of London, United Kingdom
Jaine Blayney, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, UK

Abstract

We have reached the era of full genome sequencing using high throughput sequencing technologies pouring out gigabases of reads in a day. To fully benefit from such a profusion of data high performance tools and systems are needed to extract the information lying within the sequences. This paper provides an overview of the evolution of high-throughput sequencing and the tools, infrastructure and data management developing in this space to support a key area in personalized medicine. The paper concludes by providing an outlook in the future of such technologies and their applications and how they might shape clinical governance.

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The role of high performance, grid and cloud computing in high-throughput sequencing

Authors

Abstract

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