Optimization Approaches for Solving String Selection Problems

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 bio...

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Bibliographic Details
Main Authors: Pappalardo, Elisa. (Author), Pardalos, Panos M. (Author), Stracquadanio, Giovanni. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Series:SpringerBriefs in Optimization,
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-9053-1
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505 0 # |a 1. Biological Sequences -- 2. Strings: Theory, Properties and Applications -- 3. Mathematical Optimization -- 4. String Selection Problems. 
520 # # |a 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.� 
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