Hardware Acceleration of Short Read Mapping

FCCM '12 Proceedings of the 2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines(2012)

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摘要
Bioinformatics is an emerging field with seemingly limitless possibilities for advances in numerous areas of research and applications. We propose a scalable FPGA-based solution to the short read mapping problem in DNA sequencing, which greatly accelerates the task of aligning short length reads to a known reference genome. We compare the runtime, power consumption, and sensitivity of the hardware system to the BFAST and Bowtie software tools. The hardware system demonstrates a 250X speedup versus BFAST and a 31X speedup versus Bowtie on eight CPU cores. Also, the hardware system is more sensitive than Bowtie, which aligns approximately 80% of the short reads, as compared to 91% aligned by the hardware.
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关键词
limitless possibility,hardware acceleration,dna sequencing,known reference genome,short length,short read mapping problem,bowtie software tool,power consumption,cpu core,hardware system,numerous area,short read mapping,dna,bioinformatics,genetics,field programmable gate arrays,fpga
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