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Computational Biology ist ein hochmodernes Forschungsgebiet, das die computergestützte Modellierung von Lebensvorgängen zum Inhalt hat. Dabei greift man auf verschiedenste Algorithmen und Modelle, u.a. Monte-Carlo-Methoden und Markovketten, zurück. Mit diesem Buch liegt erstmals eine in sich geschlossene Einführung in das Gebiet vor, die sich speziell an Studenten wendet. Die erfahrenen und renommierten Autoren vermitteln eine Fülle von Hintergrundinformationen, weshalb auch Leser ohne umfangreiche Vorkenntnisse schnell einen Zugang finden. C- und C++-Quelltexte verschiedener Programme der Autoren können vom zugehörigen Webserver abgerufen werden. (06/00)
Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. * Provides the background mathematics required to understand why certain algorithms work * Guides the reader through probability theory, entropy and combinatorial optimization * In-depth coverage of molecular biology and protein structure prediction * Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction * Includes class tested exercises useful for self-study * Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioniformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields.
Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. * Provides the background mathematics required to understand why certain algorithms work * Guides the reader through probability theory, entropy and combinatorial optimization * In-depth coverage of molecular biology and protein structure prediction * Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction * Includes class tested exercises useful for self-study * Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioniformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields.