Introduction to Computational Genomics
A Case Studies Approach
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Introduction to Computational Genomics by Nello Cristianini
Book DescriptionWhere 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.
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Book DetailsISBN: 9780521671910
(246mm x 189mm x 11mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 14-Dec-2006
Country of Publication: United Kingdom
Books By Author Nello Cristianini
Kernel Methods for Pattern Analysis, Hardback (June 2004)
A unique account of developing topic in data mining and machine learning.
Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Hardback (March 2000)» View all books by Nello Cristianini
This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.
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Author Biography - Nello Cristianini
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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