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Computing the similarity of two sequences with nested arc annotations

机译:使用嵌套弧注释计算两个序列的相似性

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We present exact algorithms for the NP-complete LONGEST COMMON SUBSEQUENCE problem for sequences with nested arc annotations, a problem occurring in structure comparison of RNA. Given two sequences of length at most n and nested arc structure, one of our algorithms determines (if existent) in O(3.31{sup}(k{sub}1+k{sub}2)·n) time an arc-preserving subsequence of both sequences, which can be obtained by deleting (together with corresponding arcs) k{sub}1 letters from the first and k{sub}2 letters from the second sequence. A second algorithm shows that (in case of a four letter alphabet) we can find a length l arc-annotated subsequence in O(12{sup}l·l·n) time. This means that the problem is fixed-parameter tractable when parameterized by the number of deletions as well as when parameterized by the subsequence length. Our findings complement known approximation results, which give a quadratic time factor-2-approximation for the general and polynomial time approximation schemes for restricted versions of the problem. In addition, we obtain further fixed-parameter tractability results for these restricted versions.
机译:我们提出了具有嵌套弧注释的NP完整最长最长子序列问题的精确算法,该问题发生在RNA的结构比较中。给定两个最大长度为n的序列和嵌套弧结构,我们的一种算法确定(如果存在)O(3.31 {sup}(k {sub} 1 + k {sub} 2)·n)次保弧两个序列的子序列,可以通过删除(连同相应的弧)第一个序列的k {sub} 1个字母和第二个序列的k {sub} 2个字母来获得。第二种算法表明(对于四个字母的字母表),我们可以在O(12 {sup}l·l·n)时间中找到长度为l的带弧注释的子序列。这意味着,当通过缺失数进行参数化以及通过子序列长度进行参数化时,该问题是固定参数可解决的。我们的发现补充了已知的逼近结果,该结果为问题的受限版本提供了通用时间和多项式时间逼近方案的二次时间因子2逼近。此外,对于这些受限制的版本,我们获得了更多的固定参数易处理性结果。

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