Introduction to Computational Genomics: A Case Studies Approach

Cristianini, Nello and Matthew W. Han

ISBN 10: 0521671914 / ISBN 13: 9780521671910

Editore: Cambridge University Press, Cambridge, 2007

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A nice, bright copy. ; 8vo ; 182 pages. Codice articolo 311112

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Titolo: Introduction to Computational Genomics: A ...

Casa editrice: Cambridge University Press, Cambridge

Data di pubblicazione: 2007

Legatura: Paperback

Condizione: Very Good+

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Riassunto:

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.

Descrizione del libro:

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.