Books  Data Analysis & Modelling  Bioinformatics 

Understanding Bioinformatics

By: Marketa Zvelebil and Jeremy Baum

Garland Science

Paperback | Jul 2007 | #168101 | ISBN-13: 9780815340249
Availability: Usually dispatched within 6 days Details
NHBS Price: £53.99 $69/€64 approx

About this book

Provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms.

The book is divided into seven sections, with the opening section introducing the basics of nucleic acids, proteins and databases. Subsequent sections are divided into 'applications' and 'theory' chapters, allowing readers to focus their attention effectively. In each section, the applications chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by theory chapters which give greater detail and present the underlying mathematics. In section two, Sequence Alignments, the applications chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Section three covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Section four looks at the characteristics of whole genomes. In Sections five and six the focus turns to secondary and tertiary structure - predicting structural conformation and analysing structure-function relationships. The last section surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology.

'Congratulations on a fine book! I do not think I have seen such a comprehensive text on bioinformatics algorithms and techniques before. I think this will be an invaluable resource for the bioinformatics community and researchers of neighbouring disciplines.' "-" "Jaap Heringa, Free University, Amsterdam" 'This is very well done. Compared to other competing textbooks, your book will be probably the first one that explains gene finding in detail.' "- Sun Kim, Indiana University, Bloomington, USA"


Contents

The book is divided into seven parts, with the Part 1 introducing the basics of nucleic acids, proteins and databases. Subsequent parts are innovatively divided into "Applications" and "Theory" Chapters, allowing readers to focus their attention more effectively. In each part, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and using the applications for analysis. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. Part 1, Background Basics (Ch 1-3) The opening chapters introduce the raw material of bioinformatics: nucleic acid sequences, proteins and databases. Part 2, Sequence Alignments (Ch 4-6) The applications chapter shows the reader how to produce and analyse sequence alignments, while the following two theory chapters look more closely at the more advanced techniques and mathematical algorithms involved. Part 3, Evolutionary Processes (Ch 7-8) The applications chapter guides the reader through the process of recovering evolutionary history from the DNA data; the theory chapter gives detailed information on how to construct a phylogenetic tree. Part 4, Genome Characteristics (Ch 9-10) The basics of gene prediction are covered in the applications chapter, while the theory chapter elaborates on the basic, and the more advanced, techniques. Part 5, Secondary Structures (Ch 11-12) The book's focus turns to structural aspects of macromolecules, with the first chapter giving an overview of web-based techniques for predicting secondary structure and their application while the second chapter covers the algorithms applied in the techniques. Part 6, Tertiary Structures (Ch 13-14) This section looks first at modeling protein tertiary structure using homology modelling, threading and ab initio modeling; the following chapter analyses structure-function relationships. Part 7, Cells and Organisms (Ch 15-17) In the closing chapters methods for protein and gene expression are analysed, including techniques of statistical analysis and classification, and the emerging field of systems biology is introduced.

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Biography

Marketa Zvelebil is the team leader of cancer informatics at The Breakthrough Toby Robins Breast Cancer Research Centre. Jeremy O. Baum is an Honorary Teaching Fellow in the School of Crystallography, Birkbeck College.

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