Bioinformatics: Sequence, Structure and Databanks - A Practical Approach [Hardcover]

Des Higgins (Editor), Willie Taylor (Editor)

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Product details

Hardcover: 288 pages
Publisher: Oxford University Press (1 Dec 2000)
Language English
ISBN-10: 0199637911
ISBN-13: 978-0199637911
Product Dimensions: 24.1 x 18.8 x 1.5 cm
Amazon Bestsellers Rank: 5,728,005 in Books (See Top 100 in Books)

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Review

"a worthwhile addition to your library"R (Briefings in Bioformatics ) --This text refers to the Paperback edition.

Product Description

This title covers important topics in the analysis of protein sequences and structures. It includes comparing amino acid sequences to structures comparing structures to each other, searching information on entire protein families as well as searching with single sequences, how to use the Internet and how to set up and use the SRS molecular biology database management system. Finally, there are chapters on multiple sequence alignment and protein secondary structure prediction. Bioinformatics will be invaluable to occasional users of these techniques as well as experienced professionals or researchers. This book is intended for occasional and experienced practitioners of bioinformatics.

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First Sentence
As the attempts to sequence entire genomes increases the number of protein sequences by a factor of two each year, the gap between sequence and structural information stored in public databases is growing rapidly. Read the first page

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Amazon.com: 2 reviews

13 of 14 people found the following review helpful

Great book for protein lovers! 27 Jun 2001

By A Customer - Published on Amazon.com

Format:Paperback

The title of this collection of texts is slightly misleading because the book is entirely devoted to proteins. It does not cover either DNA sequence analysis or nucleic acid structure prediction. Nor does it expose methods of "genome informatics" such as computer-assisted genome annotation or function-associated genome segmenting. Moreover the problematics of molecular evolution is covered only as much as protein phylogeny and homology is discussed. There is virtually no mention of methods for studying genome evolution.

Despite the above negatives the book provides a remarkable survey and tutorial of protein sequence and structure analysis. The editors introduction (Higgins and Taylor) is brief, precise and to the point. Chapter 1 (Jones and Hadley) and Chapter 2 (Johnson and Lehtonen) constitute a tutorial of protein structure analysis. Both chapters are likely to be informative for the beginners and enjoyable by the experts. Chapter 6 (Heringa) and Chapter 8 (Yona and Brenner) are real masterpieces and should be read by all practitioners of bioinformatics as well as by all individuals who want to learn methods of sequence analysis. These two chapters and the editor's introduction make the entire book a valuable desk reference for practitioners and a candidate textbook for students. Just to be completely fair I need to say that Chapter 5 (Henikoff and Henikoff) is potentially confusing and poorly written. The same - although to a lesser degree - applies to Chapter 9 (Harper.)

In summary: Higgins and Taylor have assembled a superb collection of short texts in protein sequence and structure analysis. Practitioners of both bioinformatics and protein biochemistry should use this book as a desk reference. Those who want to learn about bioinformatics will certainly benefit from reading selected chapters of this book as well. The book would not be harmed if it failed to contain confusing and poorly written Chapter 5 (Henikoff and Henikoff) and Chapter 9 (Harper.)

12 of 15 people found the following review helpful

A great blend of biology and computer science 11 May 2001

By John C. Wang - Published on Amazon.com

Format:Paperback

Gives a great overview of bioinformatic techniques in "sequence analysis and searching" and "protein structure analysis and prediction." Then it gives an overview of gene databases online as do all other bioinformatics books. The best part about it is that it spends 70% talking about new biology techniques which greatly helps a computer scientist like me to get into the field. Recommended.

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