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Algorithms for sequence analysis via mutagenesis

机译:通过诱变进行序列分析的算法

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Motivation: Despite many successes of conventional DNA sequencing methods, some DNAs remain difficult or impossible to sequence. Unsequenceable regions occur in the genomes of many biologically important organisms, including the human genome. Such regions range in length from tens to millions of bases, and may contain valuable information such as the sequences of important genes. The authors have recently developed a technique that renders a wide range of problematic DNAs amenable to sequencing. The technique is known as sequence analysis via mutagenesis (SAM). This paper presents a number of algorithms for analysing and interpreting data generated by this technique.
机译:动机:尽管传统的DNA测序方法取得了许多成功,但某些DNA仍然很难或无法测序。不可序列的区域出现在许多生物重要生物的基因组中,包括人类基因组。这些区域的长度范围从几十个碱基到数百万个碱基,并且可能包含有价值的信息,例如重要基因的序列。作者最近开发了一种技术,该技术可使各种有问题的DNA易于测序。该技术称为通过诱变进行序列分析(SAM)。本文介绍了许多算法,用于分析和解释此技术生成的数据。

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