Algorithms for the Uniqueness of the Longest Common Subsequence.

IF 0.9 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Yue Wang
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引用次数: 0

Abstract

Given several number sequences, determining the longest common subsequence is a classical problem in computer science. This problem has applications in bioinformatics, especially determining transposable genes. Nevertheless, related works only consider how to find one longest common subsequence. In this paper, we consider how to determine the uniqueness of the longest common subsequence. If there are multiple longest common subsequences, we also determine which number appears in all/some/none of the longest common subsequences. We focus on four scenarios: (1) linear sequences without duplicated numbers; (2) circular sequences without duplicated numbers; (3) linear sequences with duplicated numbers; (4) circular sequences with duplicated numbers. We develop corresponding algorithms and apply them to gene sequencing data.

最长共同后序唯一性算法。
给定几个数字序列,确定最长公共子序列是计算机科学中的一个经典问题。这一问题在生物信息学中也有应用,尤其是确定转座基因。然而,相关工作只考虑如何找到一个最长公共子序列。在本文中,我们考虑的是如何确定最长公共子序列的唯一性。如果存在多个最长公共子序列,我们还要确定哪个数字出现在所有/部分/无最长公共子序列中。我们重点研究四种情况:(1) 无重复数字的线性序列;(2) 无重复数字的循环序列;(3) 有重复数字的线性序列;(4) 有重复数字的循环序列。我们开发了相应的算法,并将其应用于基因测序数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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