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

机译:从头装配方法用于配对配对的宏基因组DNA读取

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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.
机译:高质量的读数集是shot弹枪测序产生的短片段,是超基因组计划的重要组成部分。尽管传统的汇编程序已用于元基因组的初步分析,但它们不能克服宏基因组数据的特征所带来的挑战。我们提出了从头配对配对的基因组的从头组装算法。我们的方法使用配对信息来指导重叠群的构建。更具体地说,我们开发了一种有效的算法,可以从重叠图中找到最佳的配对对穿线路径,以构建重叠群。对模拟宏基因组数据的测试表明,当以相同水平组装重叠群时,我们的方法比Celera Assembler和Phrap产生的组装更为准确。

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