Abstract
| Original language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Publisher | IEEE |
| Pages | 890-895 |
| Number of pages | 6 |
| ISBN (Print) | 978-1-5090-1611-2 |
| DOIs | |
| Publication status | Published - 19 Jan 2017 |
| Event | The Proceedings of the 2016 IEEE International Conference on Bioinformatics and Biomedicine: The 3rd Workshop on High Performance Computing on Bioinformatics (HPCB 2016) - Shenzhen, China Duration: 19 Jan 2017 → … |
Workshop
| Workshop | The Proceedings of the 2016 IEEE International Conference on Bioinformatics and Biomedicine: The 3rd Workshop on High Performance Computing on Bioinformatics (HPCB 2016) |
|---|---|
| Period | 19/01/17 → … |
Keywords
- high-throughput sequencing
- grid
- cloud
- personalised medicine
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The Role of High Performance, Grid and Cloud Computing in High-Throughput Sequencing. / Lightbody, Gaye; Browne, Fiona; Zheng, Huiru; Haberland, Valeriia; Blayney, Jaine.
Unknown Host Publication. IEEE, 2017. p. 890-895.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
TY - GEN
T1 - The Role of High Performance, Grid and Cloud Computing in High-Throughput Sequencing
AU - Lightbody, Gaye
AU - Browne, Fiona
AU - Zheng, Huiru
AU - Haberland, Valeriia
AU - Blayney, Jaine
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PY - 2017/1/19
Y1 - 2017/1/19
N2 - 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.
AB - 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.
KW - high-throughput sequencing
KW - grid
KW - cloud
KW - personalised medicine
U2 - 10.1109/BIBM.2016.7822643
DO - 10.1109/BIBM.2016.7822643
M3 - Conference contribution
SN - 978-1-5090-1611-2
SP - 890
EP - 895
BT - Unknown Host Publication
PB - IEEE
T2 - The Proceedings of the 2016 IEEE International Conference on Bioinformatics and Biomedicine: The 3rd Workshop on High Performance Computing on Bioinformatics (HPCB 2016)
Y2 - 19 January 2017
ER -