Finding consensus strings with small length difference between input and solution strings
ML Schmid - ACM Transactions on Computation Theory (TOCT), 2017 - dl.acm.org
ACM Transactions on Computation Theory (TOCT), 2017•dl.acm.org
The Closest Substring Problem is to decide, for given strings s1,…, sk of length at most ℓ and
numbers m and d, whether there is a length-m string s and length-m substrings s′ i of si,
such that s has a Hamming distance of at most d from each s′ i. If we instead require the
sum of all the Hamming distances between s and each s′ i to be bounded by d, then it is
called the Consensus Patterns Problem. We contribute to the parameterised complexity
analysis of these classical NP-hard string problems by investigating the parameter (ℓ− m), ie …
numbers m and d, whether there is a length-m string s and length-m substrings s′ i of si,
such that s has a Hamming distance of at most d from each s′ i. If we instead require the
sum of all the Hamming distances between s and each s′ i to be bounded by d, then it is
called the Consensus Patterns Problem. We contribute to the parameterised complexity
analysis of these classical NP-hard string problems by investigating the parameter (ℓ− m), ie …
The Closest Substring Problem is to decide, for given strings s1, … , sk of length at most ℓ and numbers m and d, whether there is a length-m string s and length-m substrings s′i of si, such that s has a Hamming distance of at most d from each s′i. If we instead require the sum of all the Hamming distances between s and each s′i to be bounded by d, then it is called the Consensus Patterns Problem. We contribute to the parameterised complexity analysis of these classical NP-hard string problems by investigating the parameter (ℓ − m), i.e., the length difference between input and solution strings. For most combinations of (ℓ − m) and one of the classical parameters (m, ℓ, k, or d), we obtain fixed-parameter tractability. However, even for constant (ℓ − m) and constant alphabet size, both problems remain NP-hard. While this follows from known results with respect to the Closest Substring, we need a new reduction in the case of the Consensus Patterns. As a by-product of this reduction, we obtain an exact exponential-time algorithm for both problems, which is based on an alphabet reduction.
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