Title :
Inapproximability of (1,2)-Exemplar Distance
Author :
Bulteau, Laurent ; Minghui Jiang
Author_Institution :
Lab. d´Inf. de Nantes-Atlantique (LINA), Univ. de Nantes, Nantes, France
Abstract :
Given two genomes possibly with duplicate genes, the exemplar distance problem is that of removing all but one copy of each gene in each genome, so as to minimize the distance between the two reduced genomes according to some measure. Let (s; t) exemplar distance denote the exemplar distance problem on two genomes G1 and G2, where each gene occurs at most s times in G1 and at most t times in G2. We show that the simplest nontrivial variant of the exemplar distance problem, (1,2)-EXEMPLAR DISTANCE, is already hard to approximate for a wide variety of distance measures, including both popular genome rearrangement measures such as adjacency disruptions, signed reversals, and signed double-cut-and-joins, and classic string edit distance measures such as Levenshtein and Hamming distances.
Keywords :
biology computing; genetics; genomics; (1,2)-exemplar distance; Hamming distance; Levenshtein distance; adjacency disruptions; classic string edit distance measures; duplicate genes; genome rearrangement measures; genomes; inapproximability; signed double-cut-and-joins; signed reversals; Approximation methods; Bioinformatics; Biological cells; Computational biology; Evolution (biology); Genomics; Comparative genomics; Hamming distance; Levenshtein distance; adjacency disruption; double-cut-and-join; edit distance; hardness of approximation; sorting by reversals;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2012.144