This paper describes the far from most string problem, one of the computationally hardest string selection problems that has found its way into numerous practical applications, especially in computational biology and bioinformatics, where one is interested in computing distance/proximity among biological sequences, creating diagnostic probes for bacterial infections, and/or discovering potential drug targets.With special emphasis on the optimization and operational research perspective, this paper studies the intrinsic properties of the problem and overviews the most popular solution techniques, including some recently proposed heuristic and metaheuristic approaches. Future directions are discussed in the last section.

On the far from most string problem, One of the hardest string selection problems

Ferone D.;
2014

Abstract

This paper describes the far from most string problem, one of the computationally hardest string selection problems that has found its way into numerous practical applications, especially in computational biology and bioinformatics, where one is interested in computing distance/proximity among biological sequences, creating diagnostic probes for bacterial infections, and/or discovering potential drug targets.With special emphasis on the optimization and operational research perspective, this paper studies the intrinsic properties of the problem and overviews the most popular solution techniques, including some recently proposed heuristic and metaheuristic approaches. Future directions are discussed in the last section.
978-3-319-10045-6
978-3-319-10046-3
Combinatorial optimization
Computational biology
Consensus
Metaheuristics
Molecular structure prediction
String selection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/307518
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