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Finding optimal threshold for correction error reads in DNA assembling

机译:在DNA组装中找到校正错误读数的最佳阈值

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摘要

BackgroundDNA assembling is the problem of determining the nucleotide sequence of a genome from its substrings, called reads. In the experiments, there may be some errors on the reads which affect the performance of the DNA assembly algorithms. Existing algorithms, e.g. ECINDEL and SRCorr, correct the error reads by considering the number of times each length-k substring of the reads appear in the input. They treat those length-k substrings appear at least M times as correct substring and correct the error reads based on these substrings. However, since the threshold M is chosen without any solid theoretical analysis, these algorithms cannot guarantee their performances on error correction.
机译:背景技术DNA组装是从基因组的子串(称为读数)中确定基因组核苷酸序列的问题。在实验中,读取中可能存在一些错误,这些错误会影响DNA组装算法的性能。现有算法,例如ECINDEL和SRCorr,通过考虑读取的每个length-k子字符串出现在输入中的次数来更正错误的读取。他们将那些长度为k的子字符串至少出现M次作为正确的子字符串,并根据这些子字符串更正错误读取。但是,由于在没有任何扎实的理论分析的情况下选择了阈值M,因此这些算法不能保证其在纠错上的性能。

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