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Multiple spaced seeds for homology search

机译:多个间隔种子进行同源性搜索

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Motivation: Homology search finds similar segments between two biological sequences, such as DNA or protein sequences. The introduction of optimal spaced seeds in PatternHunter has increased both the sensitivity and the speed of homology search, and it has been adopted by many alignment programs such as BLAST. With the further improvement provided by multiple spaced seeds in PatternHunterll, Smith-Waterman sensitivity is approached at BLASTn speed. However, computing optimal multiple spaced seeds was proved to be NP-hard and current heuristic algorithms are all very slow (exponential). Results: We give a simple algorithm which computes good multiple seeds in polynomial time. Due to a completely different approach, the difference with respect to the previous methods is dramatic. The multiple spaced seed of PatternHunterII, with 16 weight 11 seeds, was computed in 12 days. It takes us 17 s to find a better one. Our approach changes the way of looking at multiple spaced seeds. Contact: ilie@csd.uwo.ca.
机译:动机:同源性搜索在两个生物序列(例如DNA或蛋白质序列)之间找到相似的片段。在PatternHunter中引入最佳间隔的种子既提高了灵敏度,又提高了同源搜索的速度,并且已被许多比对程序(例如BLAST)采用。随着PatternHunterll中多个间隔种子的进一步改进,以BLASTn速度达到了Smith-Waterman灵敏度。然而,事实证明,计算最佳的多间隔种子是NP难的,并且当前的启发式算法都非常慢(指数)。结果:我们给出了一个简单的算法,可以在多项式时间内计算出多个种子。由于完全不同的方法,与以前的方法相比,差异是巨大的。在12天内计算出PatternHunterII的多个间隔种子,其中包含16个权重11种子。我们需要17秒钟才能找到更好的一个。我们的方法改变了看多个间隔种子的方式。联络方式:ilie@csd.uwo.ca。

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