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Performance and Analysis of Modified Voting Algorithm for Planted Motif Search

机译:种植基序搜索改进的投票算法的性能与分析

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We consider the planted (l, d) motif search problem, which consists of finding a substring of length l that occurs in a set of input sequences {s_1, s_2, …, s_n} with maximum Hamming distance, d, around the similar substring. In this paper, we present an experimental comparison between voting algorithm and its modification for planted motif on simulated data from (9, d) to (15, d) in case of challenging instances. The experimental results show that the modified voting algorithm is not better than voting algorithm as theoretically suggested. The results show that the running of voting algorithm is faster than modified voting algorithm in all the cases studied. We also determine, experimentally, the number of sequences that are required to make the modified voting algorithm faster than voting algorithm.
机译:我们考虑种植(L,D)图案搜索问题,该问题包括在具有最大汉明距离的一组输入序列{S_1,S_2,...,S_N}中找到的长度L的子字符串.D,D,D,在类似的子字符串周围。在本文中,我们在有挑战性的情况下,投票算法与种植基序的种植基序的修饰及其对模拟数据的修改的实验比较。实验结果表明,改进的投票算法不是理论上建议的投票算法。结果表明,在研究中的所有情况下,投票算法的运行比修改的投票算法更快。我们还确定,实验地确定使修改的投票算法比投票算法更快所需的序列数。

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