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Efficient sequential and parallel algorithms for planted motif search

机译:用于种植主题搜索的高效顺序和并行算法

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Background Motif searching is an important step in the detection of rare events occurring in a set of DNA or protein sequences. One formulation of the problem is known as (l,d)-motif search or Planted Motif Search (PMS). In PMS we are given two integers l and d and n biological sequences. We want to find all sequences of length l that appear in each of the input sequences with at most d mismatches. The PMS problem is NP-complete. PMS algorithms are typically evaluated on certain instances considered challenging. Despite ample research in the area, a considerable performance gap exists because many state of the art algorithms have large runtimes even for moderately challenging instances. Results This paper presents a fast exact parallel PMS algorithm called PMS8. PMS8 is the first algorithm to solve the challenging (l,d) instances (25,10) and (26,11). PMS8 is also efficient on instances with larger l and d such as (50,21). We include a comparison of PMS8 with several state of the art algorithms on multiple problem instances. This paper also presents necessary and sufficient conditions for 3 l-mers to have a common d-neighbor. The program is freely available at http://engr.uconn.edu/~man09004/PMS8/ webcite . Conclusions We present PMS8, an efficient exact algorithm for Planted Motif Search. PMS8 introduces novel ideas for generating common neighborhoods. We have also implemented a parallel version for this algorithm. PMS8 can solve instances not solved by any previous algorithms.
机译:背景图案搜索是检测在一组DNA或蛋白质序列中发生的罕见事件的重要一步。问题的一个配方称为(L,D)-MOTIF搜索或种植的图案搜索(PMS)。在PMS中,我们给出了两个整数L和D和N生物序列。我们希望找到所有在每个输入序列中显示的L长度L序列,最多d不匹配。 PMS问题是NP-Treatport。通常对某些认为具有挑战性的情况进行评估PMS算法。尽管在该地区有充足的研究,但也存在相当大的性能缺口,因为即使对于适度挑战性的情况,许多技术算法也具有大的运行时间。结果本文介绍了一种名为PMS8的快速并行PMS算法。 PMS8是解决具有挑战性(L,D)实例(25,10)和(26,11)的第一种算法。 PMS8在具有较大L和D的情况下也有效,例如(50,21)。我们包括在多个问题实例上具有多个现实算法的PMS8的比较。本文还为3 L-MERS提供了必要的和充分条件,以具有共同的D邻居。该计划可在http://engr.uconn.edu/~man09004/pms8/ webcite上免费提供。结论我们呈现PMS8,一种有效的种植图案搜索算法。 PMS8介绍了生成普通社区的新想法。我们还为此算法实施了一个并行版本。 PMS8可以解决任何先前算法未解决的实例。

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