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

被引：0

作者：

Lightbody, Gaye ^{[1
]}

Browne, Fiona ^{[1
]}

Zheng, Huiru ^{[1
]}

Haberland, Valeriia ^{[2
]}

Blayney, Jaine ^{[3
]}

机构：

[1] Univ Ulster, Sch Comp & Math, Newtownabbey, North Ireland

[2] Goldsmiths Univ London, Tungsten Ctr Intelligent Data Analyt, London, England

[3] Queens Univ Belfast, Sch Med Dent & Biomed Sci, Belfast BT7 1NN, Antrim, North Ireland

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) | 2016年

关键词：

high-throughput sequencing; grid; cloud; personalised medicine; GENERATION; MICROARRAY; MANAGEMENT; FRAMEWORK; PROFILES; ALIGNER; GENOMES; SYSTEM; TOOL;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：890 / 895

页数：6

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