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Power efficient special processor design for burrows-wheeler-transform-based short read sequence alignment

机译:高效节能的特殊处理器设计,可用于基于掘轮转换的短读序列比对

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Because of the advancement of Next Generation Sequencing technology, DNA short reads can be generated in parallel at very high-throughput rates. One of the new challenges in bioinformatics is how to map these high volume short reads to the target reference accurately and efficiently. Besides the conventional software approaches, using a special processor for sequence alignment is a promising alternative. In this work, we present a Burrows-Wheeler-Transform-based hardware architecture and implement it on a special processor using 90 nm TSMC technology. With techniques including Forward String Sorting, Depth-First Search, and Extension Modules, our hardware is very efficient in terms of time and power. When compared to the hundred-Watt-level software approach, the proposed solution needs only less than 600 mW to achieve the same speed performance.
机译:由于下一代测序技术的进步,可以以非常高吞吐率并行产生DNA短读取。生物信息学中的一个新挑战是如何准确,有效地将这些大卷读取这些大卷。除了传统的软件方法,使用特殊处理器进行序列对齐是一个有前途的替代方案。在这项工作中,我们在使用90 nm tsmc技术的特殊处理器上介绍了基于挖掘机的轮车 - 变换的硬件架构。对于包括前向字符串排序,深度第一搜索和扩展模块的技术,我们的硬件在时间和功率方面非常有效。与百万软件方法相比,所提出的解决方案只需要小于600 MW以达到相同的速度性能。

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