Introduction to Computational Genomics - A Case Studies Approach (Paperback)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	December 2006
First published:	2007
Authors:	Nello Cristianini • Matthew W. Hahn
Dimensions:	246 x 189 x 11mm (L x W x T)
Format:	Paperback - Trade
Pages:	202
ISBN-13:	978-0-521-67191-0
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General
LSN:	0-521-67191-4
Barcode:	9780521671910

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