Guide to Human Genome Computing

by Martin J. Bishop (Editor)

Overview

The Guide to Human Genome Computing is invaluable to scientists who wish to make use of the powerful computing tools now available to assist them in the field of human genome analysis. This book clearly explains access and use of sequence databases, and presents the various computer packages used to analyze DNA sequences, measure linkage analysis, compare and align DNA sequences from different genes or organisms, and infer structural and functional information about proteins from sequence data.

This Second Edition contains completely updated material. Rather than a revision of the previous volume, the Second Edition is essentially a new book, based on the subjects which will be of interest over the coming years. This new book is international, both in scope and authorship.

• Computing resources for the following are clearly explained: Internet resources - databases etc.
• Genetic analysis
• Sib-pair studies
• Comparative mapping
• Radiation hybrids
• Sequence ready clone maps
• Human genome sequencing
• ESTs
• Gene prediction
• Gene expression

Product Details

ISBN-13:	9780080532707
Publisher:	Elsevier Science
Publication date:	03/25/1998
Sold by:	Barnes & Noble
Format:	eBook
Pages:	306
File size:	12 MB
Note:	This product may take a few minutes to download.

About the Author

Martin Bishop works for the British Medicinal Resource Council as Bioinformatics Manager at the U.K. Human Genome Mapping Project Resource Centre.

Table of Contents

L. Stein, Introduction to Human Genome Computing via the World Wide Web.
M. Rhodes and R. Elaswarapu, Biological Materials and Services.
S. Bryant, Managing Pedigree and Genotype Data.
P. Sham and J. Zhao, Linkage Analysis Using Affected Sib-Pairs.
M. Bishop, Comparative Mapping in Man and Vertebrates.
L. McCarthy and C. Soderland, Radiation Hybrid Mapping.
C. Soderland, S. Gregory, and I. Dunham, Sequence Ready Clone Maps.
S. Dear, Software for Human Genome Sequencing.
G. Slater, Human EST Sequences.
L. Milanesi and I. Rogozin, Prediction of Human Gene Structure.
A. Krogh, Gene Finding: Putting the Parts Together.
D. Davidson and C. Dubreuil, Gene Expression Databases.

Editorial Reviews

Reviewer: Michael Cummings, PhD (University of Illinois at Chicago)
Description: As the title indicates, this is a guide to Web-based bioinformatics resources and their use in analyzing genomic data from the Human Genome and other genome projects.
Purpose: Because many types of genome analysis are time-consuming and labor-intensive, the use of this resource guide is essential in organizing, analyzing, storing, and retrieving information about genome organization, DNA sequence information, and macromolecular function.
Audience: The target audience includes those in a wide range of disciplines, including basic research, clinical work, and computer-based information systems. Anyone beginning work on genome analysis will find this a valuable introduction to the field of bioinformatics, and those already in the field may want to peruse this volume to uncover some new sites or software for their work.
Features: The book has twelve chapters. The first chapter is a summary of the browser and Internet connection requirements to access the resources on the WWW; this is followed by an excellent summary of the major genome databases and their content, as well as a list of the major analytic tools for genome analysis and instructions on how to use them. In subsequent chapters, biological resources for genome work, software and sites for pedigree analysis, linkage analysis, comparative mapping, radiation hybrid mapping, clone maps, genome sequencing, EST sequences, gene-finding, and gene expression databases are covered. Each chapter includes an overview of the scope of the problem and a list of Web-based resources (often with an analysis of how the software or site works), along with suggestions on how to avoid potential pitfalls.
Assessment: The is a valuable contribution to the field; the contributors are all front-line workers involved in human genome mapping or the development of resources for genome analysis.

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