A Parallel Pairwise Alignment with Pruning for Large Genomic Sequences

Xiangyuan Zhu, Bing Li, Kenli Li, Ping Shao, Yi Pan
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Abstract

Pairwise sequence alignment is a common and fundamental task in Computational Biology, which constitutes the basis for many Bioinformatics applications. In the post-genomic era, there is an increasing demand to align long DNA sequences to discover their functions. In this paper, we propose a parallel pairwise alignment algorithm for large genomic sequences by recursively dividing the whole genomic sequences into small pieces, with an effective pruning strategy to reduce search and computation space. We implemented rigorous tests on a 4-core computer using real genomic sequences and artificially generated sequences. The results show that our implementation can achieve speedup 10.64 with 99.75% accuracy compared to the sequential algorithm. As far as we know, this is the first time that MBP (mega base-pairs) sequences are globally aligned with an affine gap penalty.
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大基因组序列的平行配对与修剪
两两序列比对是计算生物学中一项常见而基本的任务,它构成了许多生物信息学应用的基础。在后基因组时代,人们越来越需要对长DNA序列进行比对,以发现它们的功能。本文提出了一种大型基因组序列的并行配对比对算法,该算法将整个基因组序列递归划分为小片段,并采用有效的剪枝策略来减少搜索和计算空间。我们在一台4核计算机上使用真实的基因组序列和人工生成的序列进行了严格的测试。结果表明,与顺序算法相比,我们的实现可以实现10.64的加速提升,准确率达到99.75%。据我们所知,这是第一次MBP(百万碱基对)序列与仿射间隙惩罚全局对齐。
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