短读映射的硬件加速

C. Olson, Maria Kim, Cooper Clauson, B. Kogon, C. Ebeling, S. Hauck, W. L. Ruzzo
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引用次数: 116

摘要

生物信息学是一个新兴的领域,在许多研究和应用领域的进步似乎具有无限的可能性。我们提出了一个可扩展的基于fpga的解决方案来解决DNA测序中的短读段定位问题,该解决方案大大加快了短读段与已知参考基因组比对的任务。我们将硬件系统的运行时间、功耗和灵敏度与BFAST和Bowtie软件工具进行了比较。硬件系统在8个CPU内核上比BFAST加速250倍,比Bowtie加速31倍。此外,硬件系统比Bowtie更敏感,Bowtie对大约80%的短读取进行对齐,而硬件对短读取的对齐率为91%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware Acceleration of Short Read Mapping
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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