Are we related to Neanderthals? Where did SARS come from? Such questions are answered by statistical and computational analysis of genetic data, and are the vehicle for this entertaining introduction to computational genomics. The case-studies approach with Matlab demos provides an enjoyable way to learn how to analyze genomic data first-hand.
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Nello Cristianini is a Professor of Artificial Intelligence, University of Bristol. Matthew Hahn is an Assistant Professor at the Department of Biology and School of Informatics, Indiana University.
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Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G0521671914I5N00
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Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G0521671914I5N00
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Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Good. minor wear and creasing. Artikel-Nr. mon0003636856
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Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good. Artikel-Nr. mon0003635424
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Where did SARS come from Have we inherited genes from Neanderthals How do plants use their internal clock The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next generation of bioinformaticians: biologists fluent in mathematics and computer science, and data analysts familiar with biology. This readable and entertaining book, based on successful taught courses, provides a roadmap to navigate entry to this field. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding and more, are introduced in a rigorous yet accessible way. A companion website provides the reader with Matlab-related software tools for reproducing the steps demonstrated in the book. Artikel-Nr. 9780521671910
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