• DocumentCode
    827147
  • Title

    Optimization techniques for string selection and comparison problems in genomics

  • Author

    Meneses, ClÀudion N. ; Oliveira, Carlosa S. ; Pardalos, Panos M.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Florida Univ., Gainesville, FL, USA
  • Volume
    24
  • Issue
    3
  • fYear
    2005
  • Firstpage
    81
  • Lastpage
    87
  • Abstract
    In this article, a discussion of optimization issues occurring in the area of genomics such as string comparison and selection problems are discussed. With this objective, an important part of the existing results in this area will be discussed. The problems that are of interest in this paper include the closest string problem (CSP), closest substring problem (CSSP), farthest string problem (FSP), farthest substring problem (FSSP), and far from most string (FFMSP) problem. The paper presents a detailed view of the most important problems occurring in the area of string comparison and selection, using the Hamming distance measure is given.
  • Keywords
    biology computing; genetics; molecular biophysics; optimisation; Hamming distance; closest string problem; closest substring problem; far from most string problem; farthest string problem; farthest substring problem; genomics; optimization; string comparison problem; string selection problem; Approximation algorithms; Bioinformatics; Codes; Costs; Genetics; Genomics; Hamming distance; Heuristic algorithms; Linear programming; Sequences;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/MEMB.2005.1436464
  • Filename
    1436464