In the past few years a large number of molecular biology problems have been formulated as combinatorial optimization problems, including sequence alignment problems, genome rearrangement problems, string selection and comparison problems, and protein structure prediction and recognition. This paper describes the combinatorial formulation of some among the most interesting molecular biology problems and surveys the most efficient state-of-the-art techniques and algorithms to exactly or approximately solve them.

Optimization Techniques in Computing Good Quality Solutions to Sequence Alignment Problems / Festa, Paola. - 1028:(2008), pp. 261-276. [10.1063/1.2965093]

Optimization Techniques in Computing Good Quality Solutions to Sequence Alignment Problems

FESTA, PAOLA
2008

Abstract

In the past few years a large number of molecular biology problems have been formulated as combinatorial optimization problems, including sequence alignment problems, genome rearrangement problems, string selection and comparison problems, and protein structure prediction and recognition. This paper describes the combinatorial formulation of some among the most interesting molecular biology problems and surveys the most efficient state-of-the-art techniques and algorithms to exactly or approximately solve them.
2008
Optimization Techniques in Computing Good Quality Solutions to Sequence Alignment Problems / Festa, Paola. - 1028:(2008), pp. 261-276. [10.1063/1.2965093]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/347510
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