Introduction to Computational Genomics
A Case Studies Approach
1st Edition
Published on 21. January 2007
978-0-511-25812-1 (ISBN)
Description
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.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
College/higher education
Professional and scholarly
Illustrations
Worked examples or Exercises; 12 Tables, unspecified; 3 Halftones, unspecified; 48 Line drawings, unspecified; 6 Line drawings, color
File size
1,52 MB
ISBN-13
978-0-511-25812-1 (9780511258121)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
12/2006
Cambridge University Press
€88.90
Shipment within 15-20 days
Book
12/2006
Cambridge University Press
€80.47
Article exhausted; check for reprint
Persons
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.
Content
Prologue (in praise of cells); 1. The first look at a genome (sequence statistics); 2. All the sequence's men (gene finding); 3. All in the family (sequence alignment); 4. The boulevard of broken genes (hidden Markov models); 5. Are Neanderthals among us? (variation within and between species); 6. Fighting HIV (natural selection at the molecular level); 7. SARS: a post-genomic epidemic (phylogenetic analysis); 8. Welcome to the hotel Chlamydia (whole genome comparisons); 9. The genomics of wine-making (analysis of gene expression); 10. A bed-time story (identification of regulatory sequences); Appendix.
