Hans-Joachim Böckenhauer – författare

Die Verbindung von Informatik und Molekularbiologie hat in den vergangenen Jahren eine immer höhere Aufmerksamkeit erhalten, unter anderem durch eine Vielzahl von Großprojekten wie zum Beispiel das Human Genome Project. Dieser Trend setzt sich nun, forciert durch immer neue und verfeinerte Ansätze zur Gewinnung und Analyse molekularbiologischer Daten, fort. Daraus resultiert auch ein vermehrtes Interesse an Basisliteratur, die dem Anfänger als Fundament für spezifischere weiterführende Literatur dient. Dieses Buch bietet Studierenden der Informatik und Bioinformatik, aber auch allen anderen Interessierten, eine didaktisch anschauliche und zugleich theoretisch fundierte Einführung in den Bereich der algorithmischen Ansätze und Methoden zur Lösung molekularbiologischer Problemstellungen.

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.

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.