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首页> 外文期刊>Computational Biology and Bioinformatics, IEEE/ACM Transactions on >Improved Algorithms for Finding Gene Teams and Constructing Gene Team Trees
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Improved Algorithms for Finding Gene Teams and Constructing Gene Team Trees

机译:寻找基因团队和构建基因团队树的改进算法

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摘要

A gene team is a set of genes that appear in two or more species, possibly in a different order yet with the distance between adjacent genes in the team for each chromosome always no more than a certain threshold delta. A gene team tree is a succinct way to represent all gene teams for every possible value of delta. In this paper, improved algorithms are presented for the problem of finding the gene teams of two chromosomes and the problem of constructing a gene team tree of two chromosomes. For the problem of finding gene teams, Béal et al. had an O(n {rm lg}^2 n)-time algorithm. Our improved algorithm requires O(n {rm lg} t) time, where t le n is the number of gene teams. For the problem of constructing a gene team tree, Zhang and Leong had an O(n {rm lg}^2 n)-time algorithm. Our improved algorithm requires O(n {rm lg} n {rm lglg} n) time. Similar to Béal et al.''s gene team algorithm and Zhang and Leong''s gene team tree algorithm, our improved algorithms can be extended to k chromosomes with the time complexities increased only by a factor of k.
机译:基因组是一组出现在两个或多个物种中的基因,可能以不同的顺序出现,但每个染色体中该组中相邻基因之间的距离始终不超过某个阈值增量。基因团队树是代表所有可能delta值的所有基因团队的简洁方法。本文针对两个染色体的基因组寻找问题和两个染色体的基因组树构建问题提出了改进的算法。对于寻找基因团队的问题,Béal等人。有O(n {rm lg} ^ 2 n)次算法。我们改进的算法需要O(n {rm lg} t)时间,其中t le n是基因团队的数量。对于构建基因团队树的问题,Zhang和Leong提出了O(n {rm lg} ^ 2 n)时间算法。我们改进的算法需要O(n {rm lg} n {rm lglg} n)时间。与Béal等人的基因团队算法以及Zhang和Leong的基因团队树算法相似,我们改进的算法可以扩展到k个染色体,而时间复杂度仅增加k倍。

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