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Inapproximability of (1,2)-Exemplar Distance
Author(s) -
Laurent Bulteau,
Minghui Jiang
Publication year - 2012
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/978-3-642-30191-9_2
Subject(s) - edit distance , hamming distance , levenshtein distance , genome , distance measures , distance matrices in phylogeny , distance matrix , computer science , genetic distance , combinatorics , string (physics) , adjacency list , hamming graph , gene , mathematics , hamming code , algorithm , artificial intelligence , biology , genetics , decoding methods , block code , genetic variation , mathematical physics
International audienceGiven 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 non-trivial variant of the exemplar distance problem, (1,2)-Exemplar Distance, is already hard to approximate for a wide variety of distance measures, including popular genome rearrangement measures such as adjacency disruptions and signed reversals, and classic string edit distance measures such as Levenshtein and Hamming distance

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