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

The Role of High Performance, Grid and Cloud Computing in High-Throughput Sequencing

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

37 Downloads (Pure)

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.

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	https://doi.org/10.1109/BIBM.2016.7822643
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

Access to Document

10.1109/BIBM.2016.7822643

BIBM16 Lightbody et al ACCEPTEDAccepted author manuscript, 242 KB

Cite this

@inproceedings{38241f9ec60549a090db9806f9ee9f63,

title = "The Role of High Performance, Grid and Cloud Computing in High-Throughput Sequencing",

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.",

keywords = "high-throughput sequencing, grid, cloud, personalised medicine",

author = "Gaye Lightbody and Fiona Browne and Huiru Zheng and Valeriia Haberland and Jaine Blayney",

year = "2017",

month = jan,

day = "19",

doi = "10.1109/BIBM.2016.7822643",

language = "English",

isbn = "978-1-5090-1611-2",

pages = "890--895",

booktitle = "Unknown Host Publication",

publisher = "IEEE",

address = "United States",

note = "The Proceedings of the 2016 IEEE International Conference on Bioinformatics and Biomedicine: The 3rd Workshop on High Performance Computing on Bioinformatics (HPCB 2016) ; Conference date: 19-01-2017",

}

Lightbody, G, Browne, F , Zheng, H, Haberland, V & Blayney, J 2017, The Role of High Performance, Grid and Cloud Computing in High-Throughput Sequencing. in Unknown Host Publication. IEEE, pp. 890-895, The Proceedings of the 2016 IEEE International Conference on Bioinformatics and Biomedicine: The 3rd Workshop on High Performance Computing on Bioinformatics (HPCB 2016), 19/01/17. https://doi.org/10.1109/BIBM.2016.7822643

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

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 -

The Role of High Performance, Grid and Cloud Computing in High-Throughput Sequencing

Abstract

Workshop

Keywords

Access to Document

Fingerprint

Cite this