Caister Academic Press

Computational Genomics: Theory and Application

Publisher: Horizon Bioscience
Editor: Richard P. Grant Laboratory of Molecular Biology, Cambridge, UK
Publication date: September 2004
ISBN-10: 1-904933-01-7
ISBN-13: 978-1-904933-01-4
Pages: x + 306

How to Order

Written by leading international experts this comprehensive book details the application of current computational methods to DNA and protein science. The subjects covered range from the theory and practice of simple database searching and sophisticated multiple sequence manipulation, through structure prediction and proteomic databases, to hardcore data analysis and the latest developments in user interface and conceptualization. Topics are covered in depth but with a practical approach that enables biologists to perform analyses and comparisons of sequence data and to determine functional and structural characteristics of proteins. In particular the book aims to provide an understanding of the ways in which such analyses and comparisons are performed in order to help the scientist to be more effective in performing such tasks and interpreting the results. This major new work is an invaluable laboratory manual for all scientists engaged in computational biology and genomics. Topics covered include database searches, sequence analysis and comparison, multiple sequence analysis, large-scale EST analysis, genome browsing, protein structure prediction, microarray data analysis, and proteomics. Suitable for bioscientists who are just getting to grips with computational biology the book also offers enough detail to act as a guide for experienced bioinformaticians at the cutting edge of the technology. The book is also useful as a teaching reference.

Key Features:


•   Written by leading international experts
•   Up-to-date
•   Topics covered comprehensively with a practical approach
•   Written to help bioscientists get to grips with computational biology
•   Invaluable reference for experienced bioinformaticians
•   Useful as a teaching reference
•   Covers: database searches, sequence analysis and comparison, multiple sequence analysis, large-scale EST analysis, genome browsing, protein structure prediction, microarray data analysis, proteomics, and much, much more!
•   Fully illustrated throughout
•   Useful index

Reviews:

"... a valuable asset to any investigator ... an excellent in-lab reference for the new graduate students and fellows (seeking) a comprehensive knowledge of the algorithms behind the interfaces" from Expert Rev. Mol. Diagn. 5(4): 483-484.

Chapter List:

Preface

Chapter 1.
Introduction to Sequence Analysis
Shane Sturrock and Richard P. Grant

Chapter 2.
Sequence Databases
Paul Rangel

Chapter 3.
Multiple Sequence Analysis Part I: An Introduction to the Theory and Application of Multiple Sequence Analysis
Steve Thompson

Chapter 4.
Multiple Sequence Analysis Part II: A Practical Tour of SeqLab, the Accelrys GCG Wisconsin Package
Steve Thompson

Chapter 5.
Hidden Markov Models: Principles and Applications
Julian Gough

Chapter 6.
Large scale EST analysis
Matthew G. Links, Jacek J. Nowak and William L. Crosby

Chapter 7.
Genquire and Apollo: The Evolution of Genome Browsers
Mark Wilkinson, David Block, William Crosby, Suzanna Lewis, Mark Gibson, Nomi Harris, Colin Wiel, John Richter, Michele Clamp and Steve Searle

Chapter 8.
Genquire and Apollo: Construction of a Genome 'Sandbox'
Suzanna Lewis, Mark Gibson, Nomi Harris, Colin Wiel, John Richter, Mark Wilkinson, David Block, William Crosby, Michele Clamp and Steve Searle

Chapter 9.
Protein Structure Prediction
Lawrence Kelley

Chapter 10.
Molecular Structure Databases and Proteomics Tools
Jeremy Giovannetti

Chapter 11.
An Introduction to Microarray Data Analysis
M. Madan Babu

Chapter 12.
Jemboss: A Graphical Interface to EMBOSS
Tim Carver

Chapter 13.
Bioinformatics Over the Web: SeWeR, as You May Think
Malay K. Basu

Chapter 14.
BioMOBY: The MOBY-S Platform for Interoperable Data-Service Provision
Mark Wilkinson

Index

How to buy this book

(EAN: 9781904933014)