BarraCUDA - a fast short read sequence aligner using graphics processing units

Hdl Handle:
http://hdl.handle.net/10147/212649
Title:
BarraCUDA - a fast short read sequence aligner using graphics processing units
Authors:
Klus, Petr; Lam, Simon; Lyberg, Dag; Cheung, Ming Sin; Pullan, Graham; McFarlane, Ian; Yeo, Giles S H; Lam, Brian Y H
Citation:
BMC Research Notes. 2012 Jan 13;5(1):27
Issue Date:
13-Jan-2012
URI:
http://hdl.handle.net/10147/212649
Abstract:
Abstract Background 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. Findings Using the NVIDIA Compute Unified Device Architecture (CUDA) software development environment, we ported the most computational-intensive alignment component of BWA to GPU to take advantage of the massive parallelism. As a result, BarraCUDA offers a magnitude of performance boost in alignment throughput when compared to a CPU core while delivering the same level of alignment fidelity. The software is also capable of supporting multiple CUDA devices in parallel to further accelerate the alignment throughput. Conclusions BarraCUDA is designed to take advantage of the parallelism of GPU to accelerate the alignment of millions of sequencing reads generated by NGS instruments. By doing this, we could, at least in part streamline the current bioinformatics pipeline such that the wider scientific community could benefit from the sequencing technology. BarraCUDA is currently available from http://seqbarracuda.sf.net
Item Type:
Journal Article

Full metadata record

DC FieldValue Language
dc.contributor.authorKlus, Petr-
dc.contributor.authorLam, Simon-
dc.contributor.authorLyberg, Dag-
dc.contributor.authorCheung, Ming Sin-
dc.contributor.authorPullan, Graham-
dc.contributor.authorMcFarlane, Ian-
dc.contributor.authorYeo, Giles S H-
dc.contributor.authorLam, Brian Y H-
dc.date.accessioned2012-02-24T09:41:53Z-
dc.date.available2012-02-24T09:41:53Z-
dc.date.issued2012-01-13-
dc.identifierhttp://dx.doi.org/10.1186/1756-0500-5-27-
dc.identifier.citationBMC Research Notes. 2012 Jan 13;5(1):27-
dc.identifier.urihttp://hdl.handle.net/10147/212649-
dc.description.abstractAbstract Background 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. Findings Using the NVIDIA Compute Unified Device Architecture (CUDA) software development environment, we ported the most computational-intensive alignment component of BWA to GPU to take advantage of the massive parallelism. As a result, BarraCUDA offers a magnitude of performance boost in alignment throughput when compared to a CPU core while delivering the same level of alignment fidelity. The software is also capable of supporting multiple CUDA devices in parallel to further accelerate the alignment throughput. Conclusions BarraCUDA is designed to take advantage of the parallelism of GPU to accelerate the alignment of millions of sequencing reads generated by NGS instruments. By doing this, we could, at least in part streamline the current bioinformatics pipeline such that the wider scientific community could benefit from the sequencing technology. BarraCUDA is currently available from http://seqbarracuda.sf.net-
dc.titleBarraCUDA - a fast short read sequence aligner using graphics processing units-
dc.typeJournal Article-
dc.language.rfc3066en-
dc.rights.holderKlus et al.; licensee BioMed Central Ltd.-
dc.description.statusPeer Reviewed-
dc.date.updated2012-02-22T06:14:23Z-
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