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The 2-Interval Pattern Matching Problems and Its Application to ncRNA Scanning

机译:2间隔模式匹配问题及其在ncRNA扫描中的应用

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This paper focuses on the 2-Interval pattern matching problem for {<, is contained in}-structured pattern and applies it on scanning for the ncRNAs without pseu-doknots. Vialette [6] gave an O(mn~3 log n) time solution to the problem, where m, n are the number of intervals in the pattern and the given 2-interval set. This solution however is not practical for scanning the secondary structure in a genome-wide or chromosome-wide scale. In this paper, we propose an efficient algorithm to solve the problem in O(mn log n) time. In order to capture more characteristics of the secondary structures of ncRNA families, we define a new problem by considering the distance constraints between the intervals and we can still solve it without increasing the time complexity. Experiment showed that the method to the new defined problem can result in much fewer false positives. Moreover, if we assume the only possible base pairs are {(A,U), (C,G), (U,G)} which are the case for RNA molecule, we can further improve the time complexity to O(m q), where q is the length of the input RNA sequences. From the experiment, our new method requires a reasonable time (2.5 min) to scan the whole chromosome for an ncRNA family.
机译:本文着重研究{<,包含在}结构模式中的2间隔模式匹配问题,并将其应用于扫描没有pseu-doknots的ncRNA。 Vialette [6]给出了该问题的O(mn〜3 log n)时间解,其中m,n是模式中的间隔数和给定的2个间隔集合。然而,该解决方案对于以基因组范围或染色体范围的规模扫描二级结构并不实用。在本文中,我们提出了一种有效的算法来解决O(mn log n)时间的问题。为了捕获ncRNA家族二级结构的更多特征,我们通过考虑间隔之间的距离限制来定义一个新问题,我们仍然可以在不增加时间复杂度的情况下解决该问题。实验表明,针对新定义问题的方法可以减少误报。此外,如果我们假设唯一可能的碱基对是{(A,U),(C,G),(U,G)},这是RNA分子的情况,那么我们可以进一步将时间复杂度提高到O(mq) ,其中q是输入RNA序列的长度。从实验中,我们的新方法需要一个合理的时间(2.5分钟)来扫描整个染色体的ncRNA家族。

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