International audienceThe parameterised complexity of consensus string problems (Closest String, Closest Sub-string, Closest String with Outliers) is investigated in a more general setting, i. e., with a bound on the maximum Hamming distance and a bound on the sum of Hamming distances between solution and input strings. We completely settle the parameterised complexity of these generalised variants of Closest String and Closest Substring, and partly for Closest String with Outliers; in addition, we answer some open questions from the literature regarding the classical problem variants with only one distance bound. Finally, we investigate the question of polynomial kernels and respective lower bounds
AbstractThis paper presents a collection of string algorithms that are at the core of several biolog...
AbstractThe basic theory of hidden Markov models was developed and applied to problems in speech rec...
Algorithms for finding similar, or highly conserved, regions in a group of sequences are at the core...
International audienceThe parameterised complexity of consensus string problems (Closest String, Clo...
AbstractThe consensus (string) problem is finding a representative string, called a consensus, of a ...
Abstract. The consensus string problem is finding a representative string (consensus) of a given set...
The consensus (string) problem is finding a representative string, called a consensus, of a given se...
The consensus string problem is finding a representative string (consensus) of a given set of string...
We study two pattern matching problems that are motivated by applications in computational biology. ...
AbstractProblems associated with finding strings that are within a specified Hamming distance of a g...
AbstractGiven a set S of strings, a consensus string of S based on consensus error is a string w tha...
In the CLOSEST SUBSTRING problem k strings s1,..., sk are given, and the task is to find a string s ...
In this paper we consider the p-Norm Hamming Centroid problem which asks to determine whether some g...
This thesis studies the computational complexity and polynomial-time approximability of a number of ...
AbstractGiven a set of n strings of length L and a radius d, the closest string problem (CSP for sho...
AbstractThis paper presents a collection of string algorithms that are at the core of several biolog...
AbstractThe basic theory of hidden Markov models was developed and applied to problems in speech rec...
Algorithms for finding similar, or highly conserved, regions in a group of sequences are at the core...
International audienceThe parameterised complexity of consensus string problems (Closest String, Clo...
AbstractThe consensus (string) problem is finding a representative string, called a consensus, of a ...
Abstract. The consensus string problem is finding a representative string (consensus) of a given set...
The consensus (string) problem is finding a representative string, called a consensus, of a given se...
The consensus string problem is finding a representative string (consensus) of a given set of string...
We study two pattern matching problems that are motivated by applications in computational biology. ...
AbstractProblems associated with finding strings that are within a specified Hamming distance of a g...
AbstractGiven a set S of strings, a consensus string of S based on consensus error is a string w tha...
In the CLOSEST SUBSTRING problem k strings s1,..., sk are given, and the task is to find a string s ...
In this paper we consider the p-Norm Hamming Centroid problem which asks to determine whether some g...
This thesis studies the computational complexity and polynomial-time approximability of a number of ...
AbstractGiven a set of n strings of length L and a radius d, the closest string problem (CSP for sho...
AbstractThis paper presents a collection of string algorithms that are at the core of several biolog...
AbstractThe basic theory of hidden Markov models was developed and applied to problems in speech rec...
Algorithms for finding similar, or highly conserved, regions in a group of sequences are at the core...