Hans-Joachim Böckenhauer, Dirk Bongartz

Algorithmic Aspects of Bioinformatics (eBook, PDF)

• Format: PDF

Produktbeschreibung

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, the book explains string algorithms and alignments. It next details the field of physical mapping and DNA sequencing and examines the application of algorithmics to the analysis of biological data. The book features exciting application examples, such as 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 researchtopics.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 396
• Erscheinungstermin: 6. Juni 2007
• Englisch
• ISBN-13: 9783540719137
• Artikelnr.: 37366729

Autorenporträt

Inhaltsangabe

and Basic Algorithms.- Basics of Molecular Biology.- Basic Concepts: Strings, Graphs, and Algorithms.- String Algorithms.- Alignment Methods.- DNA Sequencing.- and Overview.- Physical Mapping.- DNA Sequencing.- Analyzing Biological Data.- Finding Signals in DNA Sequences.- Genome Rearrangements.- Phylogenetic Trees.- Haplotyping.- Higher-Dimensional Structures of Biomolecules.

Rezensionen

From the reviews: "This book is a worthy leader in what will surely be a torrent of high-level texts inspired by the success of DNA containing genetic instructions. ... this book is a highly recommended compendium of applications for geneticists and computer scientists. ... The computer science theory is developed in this text with ... numerous simple illustrations from DNA." (Harvey Cohn, ACM Computing Reviews, Vol. 49 (12), December, 2008)