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Finding Motifs in DNA Sequences Using Low-Dispersion Sequences

机译:使用低分散序列在DNA序列中查找基序

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摘要

>Motif finding problems, abstracted as the planted (l, d)-motif finding problem, are a major task in molecular biology—finding functioning units and genes. In 2002, the random projection algorithm was introduced to solve the challenging (15, 4)-motif finding problem by using randomly chosen templates. Two years later, a so-called uniform projection algorithm was developed to improve the random projection algorithm by means of low-dispersion sequences generated by coverings. In this article, we introduce an improved projection algorithm called the low-dispersion projection algorithm, which uses low-dispersion sequences generated by developed almost difference families. Compared with the random projection algorithm, the low-dispersion projection algorithm can solve the (l, d)-motif finding problem with fewer templates without decreasing the success rate.
机译:>主题发现问题,抽象为植物(l,d)-主题发现问题,是分子生物学中的一项主要任务-查找功能单元和基因。 2002年,引入了随机投影算法,通过使用随机选择的模板来解决具有挑战性的(15,4)基序查找问题。两年后,开发了一种所谓的均匀投影算法,以通过覆盖物生成的低分散序列改进随机投影算法。在本文中,我们介绍了一种改进的投影算法,称为低分散投影算法,该算法使用了由已开发的几乎差分族生成的低分散序列。与随机投影算法相比,低色散投影算法可以用更少的模板来解决(l,d)主题查找问题,而不会降低成功率。

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