A de novo assembly method for metagenomic DNA reads with mate pairs

Binbin Lai, Ruogu Ding, Huaiqiu Zhu
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Abstract

A high quality assembly of reads, which are short fragments generated from shotgun sequencing, is a substantial part of the metagenome projects. Although traditional assemblers have been employed in initial analysis of the metagenomes, they cannot surmount the challenges created by the features of metagenomic data. We present a de novo assembly algorithm for metagenomes with mate pairs. Our method uses mate pair information to guide contig construction. More specifically, we developed an efficient algorithm to find the best mate pair threading paths from the overlap graph to construct contigs. Tests on simulated metagenome data show that our method produced more accurate assembly than Celera Assembler and Phrap when assembling contigs at a same level.
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一种新的装配方法,用于宏基因组DNA的配对
高质量的reads汇编是由霰弹枪测序产生的短片段,是宏基因组项目的重要组成部分。虽然传统的组装程序已被用于宏基因组的初始分析,但它们无法克服宏基因组数据的特点所带来的挑战。提出了一种具有配偶对的宏基因组从头组装算法。我们的方法利用配偶对信息来指导组构。更具体地说,我们开发了一种有效的算法,从重叠图中找到最佳的伴侣对线程路径来构造contigs。对模拟宏基因组数据的测试表明,在相同水平上,我们的方法比Celera Assembler和Phrap的组装精度更高。
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