Title |
BarraCUDA - a fast short read sequence aligner using graphics processing units
|
---|---|
Published in |
BMC Research Notes, January 2012
|
DOI | 10.1186/1756-0500-5-27 |
Pubmed ID | |
Authors |
Petr Klus, Simon Lam, Dag Lyberg, Ming Sin Cheung, Graham Pullan, Ian McFarlane, Giles SH Yeo, Brian YH Lam |
Abstract |
With the maturation of next-generation DNA sequencing (NGS) technologies, the throughput of DNA sequencing reads has soared to over 600 gigabases from a single instrument run. General purpose computing on graphics processing units (GPGPU), extracts the computing power from hundreds of parallel stream processors within graphics processing cores and provides a cost-effective and energy efficient alternative to traditional high-performance computing (HPC) clusters. In this article, we describe the implementation of BarraCUDA, a GPGPU sequence alignment software that is based on BWA, to accelerate the alignment of sequencing reads generated by these instruments to a reference DNA sequence. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Netherlands | 2 | 2% |
United Kingdom | 2 | 2% |
Spain | 2 | 2% |
Brazil | 2 | 2% |
Switzerland | 1 | <1% |
France | 1 | <1% |
Italy | 1 | <1% |
Sweden | 1 | <1% |
Other | 5 | 4% |
Unknown | 99 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 39 | 32% |
Student > Ph. D. Student | 30 | 25% |
Student > Bachelor | 10 | 8% |
Student > Master | 9 | 7% |
Other | 6 | 5% |
Other | 16 | 13% |
Unknown | 12 | 10% |
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Computer Science | 34 | 28% |
Biochemistry, Genetics and Molecular Biology | 14 | 11% |
Engineering | 4 | 3% |
Medicine and Dentistry | 3 | 2% |
Other | 6 | 5% |
Unknown | 16 | 13% |