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A parallel design for Burrows-Wheeler transform based DNA sequences data

机译:基于DNA序列数据的挖掘机轮车变换的平行设计

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Aligning or assembling an enormous amount of short reads is a core step for high throughput biological applications. Based on existing indexing and pattern matching technologies, several algorithms and software have been developed. Yet, there is still a strong need to further improve the speed. In this paper, a new revised, parallel algorithm for the Burrows-Wheeler transform is presented. This is used to construct the suffix arrray of large strings such as those produced by Next Generation Sequencing. The algorithm is designed for parallelism and can effectively exploit the combination of low capacity memory and Open MP. Furthermore, the implementation is up to 2 times faster than serial algorithms.
机译:对准或组装大量短读数是高通量生物应用的核心步骤。基于现有的索引和模式匹配技术,已经开发了几种算法和软件。然而,仍然需要进一步提高速度。本文提出了一种新的修订,并行算法,用于挖掘机轮转器变换。这用于构造大字符串的后缀Arrray,例如由下一代测序产生的那些。该算法设计用于并行性,可以有效地利用低容量存储器和打开MP的组合。此外,实现比串行算法快2倍。

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