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Optimization Approaches for Solving String Selection Problems

  • Elisa Pappalardo
  • Panos M. Pardalos
  • Giovanni Stracquadanio

Part of the SpringerBriefs in Optimization book series (BRIEFSOPTI)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio
    Pages 1-6
  3. Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio
    Pages 7-12
  4. Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio
    Pages 13-25
  5. Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio
    Pages 27-49

About this book

Introduction

Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems. This class of problems addresses the recognition of similar characteristics or differences within biological sequences. Specifically, this book considers a large class of problems, ranging from the closest string and substring problems, to the farthest string and substring problems, to the far from most string problem. Each problem includes a detailed description, highlighting both biological and mathematical features and presents state-of-the-art approaches.

This Brief provides a quick  introduction of optimization methods for string selection problems for young scientists and a detailed description of the mathematical and computational methods developed for experts in the field of optimization who want to deepen their understanding of the string selection problems. Researchers, practitioners and graduate students in the field of Computer Science, Operation Research, Mathematics, Computational Biology and Biomedicine will find this book useful. ​

Keywords

NP-hard problems String selection problems closest string problem computational biology farthest string problem heuristics

Authors and affiliations

  • Elisa Pappalardo
    • 1
  • Panos M. Pardalos
    • 2
  • Giovanni Stracquadanio
    • 3
  1. 1.Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreUSA
  2. 2.Department of Industrial & Systems EnginUniversity of FloridaGainesvilleUSA
  3. 3.Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-9053-1
  • Copyright Information Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-9052-4
  • Online ISBN 978-1-4614-9053-1
  • Series Print ISSN 2190-8354
  • Series Online ISSN 2191-575X
  • Buy this book on publisher's site
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