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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.
This book investigates optimization methods for string selection problems within genomics. It provides an overview of techniques used to recognize similarities and differences in biological sequences, covering problems such as the closest string and substring, farthest string and substring, and far from most string problems. The book details the biological and mathematical features of each problem and presents current approaches, serving as an introduction for new scientists and a detailed resource for experts in optimization seeking to deepen their understanding of these specific challenges.
This book is positioned as a valuable resource for researchers, practitioners, and graduate students across Computer Science, Operations Research, Mathematics, Computational Biology, and Biomedicine. Its dual approach aims to provide a quick introduction for emerging scientists while offering in-depth mathematical and computational details for established experts. The content focuses on the specific challenges and optimization techniques relevant to analyzing biological sequences.
Page Count:
49
Publication Date:
2013-01-01
ISBN-10:
1461490529
ISBN-13:
9781461490524
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