Toward perfect reads: self-correction of short reads via mapping on de Bruijn graphs

走向完全读:通过在de Bruijn图上的映射，实现短读的自我校正

动机

短读精度对于下游分析(如基因组组装和杂交长读校正)非常重要。尽管在短读校正方面做了大量的工作，但是现在的校正器要么不能很好地在大型数据集上进行扩展，要么认为读只是k-mers的组合，而没有考虑到它们的完整读信息。

结果

我们提出了一种使用de Bruijn图修正短读的新方法，并将其实现为一种名为Bcool的工具。作为第一步，Bcool从reads构造一个压缩的de Bruijn图。这个图是在k-mer丰度的基础上过滤的，然后是unitig丰度，从而消除了大部分的测序错误。然后，将清洗后的图形用作一个引用，并将读取结果映射到该引用上进行更正。我们表明，这种方法比k-mer-spectrum校正器产生更准确的读数，同时可扩展到人类大小的基因组数据集等。

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