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Sequencing by hybridization in the presence of hybridization errors.

机译:通过杂交在杂交误差存在下进行测序。

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DNA sequencing is a very important problem in genomics. Several different sequencing methods are currently utilized. One promising method uses a sequencing chip to obtain information about the presence of subsequences in DNA. This paper deals with sequencing of hybridization data from a sequencing chip, called Sequencing by Hybridization (SBH). Preparata et al. proposed a new sequencing chip using universal bases, together with a new sequencing algorithm, and showed that its performance is significantly better than the standard scheme based on oligomer probes. However, the presence of errors in the sequencing chip was not considered, and the method of Preparata et al. cannot be used directly in practice. This paper proposes sequencing algorithms in the presence of hybridization errors for their sequencing chip and applies these algorithms to random data in the presence of random errors. Computational results show that false negative errors have larger effects on the rates of correct reconstruction thando false positive errors. Our extended sequencing algorithms are useful when there are a few hybridization errors.
机译:DNA测序是基因组学中的一个非常重要的问题。目前有几种不同的测序方法。一个有希望的方法使用测序芯片来获取有关DNA中随后存在的信息。本文涉及来自测序芯片的杂交数据的测序,通过杂交(SBH)称为测序。 Prictata等人。使用通用基础的新测序芯片以及新的测序算法以及新的测序算法,并表明其性能明显优于基于低聚物探针的标准方案。然而,未考虑测序芯片中的误差的存在,以及预备等方法。不能直接在实践中使用。本文提出了在杂交误差存在下的杂交误差的序列算法,并在随机误差存在下将这些算法应用于随机数据。计算结果表明,假阴性误差对正确的重建速率的速度较大,Xando错误正误差。当存在一些杂交错误时,我们的扩展序列算法很有用。

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