Optimization Approaches for Solving String Selection Problems
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Beschreibung
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.
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
Autor*in
Elisa Pappalardo
Themen in »Optimization Approaches for Solving String Selection Problems«
NP-hard problems String selection problems closest string problem computational biology farthest string problem heuristics