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Optimization Approaches for Solving String Selection Problems: SpringerBriefs in Optimization

Autor Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio
en Limba Engleză Paperback – 10 oct 2013
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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Specificații

ISBN-13: 9781461490524
ISBN-10: 1461490529
Pagini: 60
Ilustrații: VIII, 49 p. 2 illus. in color.
Dimensiuni: 155 x 235 x 3 mm
Greutate: 0.1 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Optimization

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

1. Biological Sequences.- 2. Strings: Theory, Properties and Applications.- 3. Mathematical Optimization.- 4. String Selection Problems.

Caracteristici

Provides both an easy and deep understanding of optimization methods for string selection problems Problems are presented in a theoretical and practical manner Highlights the importance of applying theoretical results to challenging problems occurring in genomics Includes supplementary material: sn.pub/extras