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Dynamic construction of pan-genome subgraphs

机译:泛基因组子图的动态施工

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摘要

Marcus et al. (Bioinformatics 2014) proposed to use a compressed de Bruijn graph as a description of a pan-genome, comprising the genomes of many individuals/strains of the same or closely related species. Subsequent work improved the construction of the compressed de Bruijn graph in terms of run-time and memory consumption. According to the Computational Pan-Genomics Consortium (Briefings in Bioinformatics 2016), a pan-genome data structure should support the following functionality: “All information within a data structure should be easily accessible for human eyes by visualization support on different scales.” However, a pan-genome graph can have thousands to millions of nodes and such an amount of information is certainly not easily accessible for human eyes. Thus, the possibility to construct pangenome subgraphs on demand would be quite valuable. In this article, we use the space-efficient representation of the compressed de Bruijn graph devised by Beller and Ohle-busch (Algorithms for Molecular Biology 2016) to construct pan-genome subgraphs on the fly. The user can specify a region in one of the genomes and the software tool will build a subgraph that contains the path corresponding to that region and all paths that are in the neighborhood of that path. The size of the neighborhood can be controlled by the user.
机译:Marcus等。 (Bioinformatics 2014)提出用于使用压缩的DE BRUIJN图作为泛基因组的描述,包括许多相同或密切相关的物种的许多个体/菌株的基因组。随后的工作在运行时间和内存消耗方面改善了压缩的de Bruijn图的构建。根据计算Pan-Genomics联盟(2016年生物信息学的简报),Pan-Genome数据结构应该支持以下功能:“数据结构内的所有信息都应通过不同尺度的可视化支持来容易地访问人眼。”然而,泛基因组图可以具有数千到数百万节点,并且这种信息肯定不容易获得人眼。因此,根据需求构建Pangenome子图的可能性将是非常有价值的。在本文中,我们使用Beller和Ohle-Busch(2016年分子生物学算法的压缩De Bruijn图表的节空节空节空节空间表示,以防速度构建泛基因组子图。用户可以在其中一个基因组中指定一个区域,软件工具将构建包含与该区域相对应的路径的子图以及该路径附近的所有路径。邻域的大小可以由用户控制。

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