Algorithmic Aspects of Bioinformatics

Dirk Bongartz

ISBN 10: 3540719121 / ISBN 13: 9783540719120

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2007, 2007

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Neuware -Advances in bioinformatics and systems biology require improved computational methods for analyzing data, while progress in molecular biology is in turn influencing the development of computer science methods. This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them.After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data.This book describes topics in detail and presents formal models in a mathematically precise, yet intuitive manner, with many figures and chapter summaries, detailed derivations, and examples. It is well suited as an introduction into the field of bioinformatics, and will benefit students and lecturers in bioinformatics and algorithmics, while also offering practitioners an update on current research topics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch.

Codice articolo 9783540719120

Dati bibliografici

• Titolo: Algorithmic Aspects of Bioinformatics
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2007
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 3540719121
• ISBN 13: 9783540719120
• Rilegatura: Buch
• Condizione: Neu

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Riassunto

This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data. Figures, chapter summaries, detailed derivations, and examples, are provided.

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