Abstract
In this paper we study the following problem: Given n strings s1, s 2,..., sn, each of length m, find a substring ti of length L for each s i, and a string s of length L, such that maxi = 1n d(s, ti) is minimized, where d(·, ·) is the Hamming distance. The problem was raised in [6] in an application of genetic drug target search and is a key open problem in many applications [7]. The authors of [6] showed that it is NP-hard and can be trivially approximated within ratio 2. A non-trivial approximation algorithm with ratio better than 2 was found in [7]. A major open question in this area is whether there exists a polynomial time approximation scheme (PTAS) for this problem. In this paper, we answer this question positively. We also apply our method to two related problems.
Supported in part by NSERC Research Grant OGP0046506.
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Ma, B. (2000). A Polynomial Time Approximation Scheme for the Closest Substring Problem. In: Giancarlo, R., Sankoff, D. (eds) Combinatorial Pattern Matching. CPM 2000. Lecture Notes in Computer Science, vol 1848. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45123-4_10
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DOI: https://doi.org/10.1007/3-540-45123-4_10
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