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D-ASSIRC: distributed program for finding sequence similarities in genomes

机译:D-ASSIRC:用于发现基因组序列相似性的分布式程序

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Motivation: Locating the regions of similarity in a genome requires the availability of appropriate tools such as 'Accelerated Search for Slmilar Regions in Chromosomes' (ASSIRC; Vincens et al., Bioinformatics, 14, 715-725, 1998). The aim of this paper is to present different strategies for improving this program by distributing the operations and data to multiple processing units and to assess the efficiency of the different implementations in terms of running time as a function of the number of processing units. Results: The new version D-ASSIRC is based on three alternative strategies of task sharing: (1) a distributed search using the splitting of studied sequences into large overlapping subsequences (strategy ASS); (2) two distributed searches for repeated exact motifs of fixed size either managed by a central processor (strategy AGD) or locally managed by numerous processors (strategy ALD). The result is that the strategy ASS is suitable for a large number of processing units (the time was divided by a factor of 12 when the number of processing units was increased from 1 to 16) wheras the strategy ALD is better for a small set of processors (typically for four or six). The different proposed strategies are efficient for various applications in genomic research, particularly for locating similarities of nucleic sequences in large genomes.
机译:动机:在基因组中定位相似区域需要适当的工具,例如“加速搜索染色体中的Slmilar区域”(ASSIRC; Vincens等人,Bioinformatics,14,715-725,1998)。本文的目的是提出通过将操作和数据分布到多个处理单元来改进此程序的不同策略,并根据运行时间与处理单元数量的关系来评估不同实现的效率。结果:新版本的D-ASSIRC基于三种可选的任务共享策略:(1)使用将研究序列分为大的重叠子序列(策略ASS)的分布式搜索; (2)两次分布式搜索,搜索固定大小的重复精确主题,这些主题既可以由中央处理器(策略AGD)管理,也可以由多个处理器本地管理(策略ALD)。结果是策略ASS适用于大量的处理单元(当处理单元的数量从1增加到16时,时间除以12的系数),而策略ALD则适用于少量的处理单元。处理器(通常是四个或六个)。所提出的不同策略对于基因组研究中的各种应用都是有效的,特别是在大型基因组中定位核酸序列的相似性方面。

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