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Tractability and approximability of maximal strip recovery

机译:最大条带回收率的可牵引性和近似性

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An essential task in comparative genomics is to decompose two or more genomes into synteny blocks that are segments of chromosomes with similar contents. Given a set of d genomic maps each containing the same n markers without duplicates, the problem MAXIMAL STRIP RECOVERY (MSR) aims at finding a decomposition of the genomic maps into synteny blocks (strips) of the maximum total length l, by deleting the minimum number k = n - l of markers which are probably noise and ambiguities. In this paper, we present a collection of new or improved FPT and approximation algorithms for MSR and its variants. Our main results include a 2~(O(dδl)) poly(nd) time FPT algorithm for δ-gap-MSR-d, a 2.36~k poly(nd) time FPT algorithm for both CMSR-d and δ-gap-CMSR-d, and a (d + 1.5)-approximation algorithm for both CMSR-d and δ-gap-CMSR-d.
机译:比较基因组学中的一项基本任务是将两个或多个基因组分解为同义模块,这些模块是具有相似含量的染色体片段。给定一组d个基因组图,每个图谱都包含相同的n个标记而没有重复,则最大条带回收(MSR)问题旨在通过删除最小k = n-l个标记,可能是噪声和歧义。在本文中,我们介绍了针对MSR及其变体的新的或改进的FPT和近似算法的集合。我们的主要结果包括针对δ-gap-MSR-d的2〜(O(dδl))poly(nd)时间FPT算法,针对CMSR-d和δ-gap-s的2.36〜k poly(nd)时间FPT算法CMSR-d,以及针对CMSR-d和δ-gap-CMSR-d的(d + 1.5)近似算法。

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