FSG: Fast String Graph Construction for De Novo Assembly

FSG: Fast String Graph Construction for De Novo Assembly
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FSG:用于 De Novo 组装的快速字符串图构建

DOI:
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发表时间:
2016
期刊:
J. Comput. Biol.
影响因子:
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通讯作者:
Raffaella Rizzi
Raffaella Rizzi
中科院分区:
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文献类型:
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作者:
P. Bonizzoni;G. D. Vedova;Yuri Pirola;M. Previtali;Raffaella Rizzi

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下一代读取集合的字符串图是一种无损数据表示,对于基于重叠布局共识范式的从头组装程序来说是基础。在本文中,我们探索一种基于 FM 索引以及 Burrows 和 Wheeler 变换来计算字符串图的新颖方法。我们描述了一种简单的算法,该算法仅使用读取集合的 FM 索引表示来构建字符串图,而不访问输入读取。我们的算法已作为独立模块集成到字符串图汇编器(SGA)中来构造字符串图。新的集成汇编器已经在标准基准测试上进行了评估,结果表明快速字符串图 (FSG) 明显快于 SGA,同时保持了主内存的适度使用,并显示了在多线程上运行 FSG 的实际优势。此外,我们还研究了覆盖率对运行时间的影响。
The string graph for a collection of next-generation reads is a lossless data representation that is fundamental for de novo assemblers based on the overlap-layout-consensus paradigm. In this article, we explore a novel approach to compute the string graph, based on the FM-index and Burrows and Wheeler Transform. We describe a simple algorithm that uses only the FM-index representation of the collection of reads to construct the string graph, without accessing the input reads. Our algorithm has been integrated into the string graph assembler (SGA) as a standalone module to construct the string graph. The new integrated assembler has been assessed on a standard benchmark, showing that fast string graph (FSG) is significantly faster than SGA while maintaining a moderate use of main memory, and showing practical advantages in running FSG on multiple threads. Moreover, we have studied the effect of coverage rates on the running times.
DOI: 10.1101/gr.131383.111
发表时间: 2012-03-01
期刊: GENOME RESEARCH
影响因子: 7
作者:
Salzberg, Steven L.;Phillippy, Adam M.;Yorke, James A.
通讯作者: Yorke, James A.