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.

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.

Erlernen Sie die Grundlagen der Bioinformatik theoretisch fundiert und zugleich anschaulich mit vielen Beispielen.
Die Bioinformatik hat in den vergangenen Jahren eine immer hohere Aufmerksamkeit erhalten. Dazu haben viele Grossprojekten wie zum Beispiel das Human Genome Project beigetragen. Dieser Trend setzt sich durch immer neue und verfeinerte Ansatze zur Gewinnung und Analyse molekularbiologischer Daten fort.
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