The Chain Alignment Problem

被引：1

作者：

Lima, Leandro ^{[1
]}

Adi, Said Sadique ^{[2
]}

机构：

[1] Univ Lyon 1, CNRS, Lab Biometrie & Biol Evolut UMR5558, F-69622 Villeurbanne, France

[2] Univ Fed Mato Grosso Do Sul, Fac Comp, BR-79070900 Campo Grande, MS, Brazil

来源：

JOURNAL OF COMPUTATIONAL SCIENCE | 2020年 / 45卷 / 45期

关键词：

String processing; Dynamic programming; NP-hardness; Gene prediction; COMPLEXITY; SEQUENCE; START;

D O I：

10.1016/j.jocs.2020.101161

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper introduces two new combinatorial optimization problems involving strings, namely, the Chain Alignment Problem, and a multiple version of it, the Multiple Chain Alignment Problem. For the first problem, a polynomial-time algorithm using dynamic programming is presented, and for the second one, a proof of its NP-hardness and in approximability are provided, jointly with the main ideas of three heuristics proposed for it. The three heuristics are assessed with simulated data and the applicability of both problems here introduced is attested by their good results when modeling the Gene Identification Problem. (C) 2020 Elsevier B.V. All rights reserved.

引用

页数：11

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