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Technical "Bioinformatics for Geneticists" ed. by Michael R. Barnes, Ian C. Gray

Posted on 2010-07-09




Name:Technical "Bioinformatics for Geneticists" ed. by Michael R. Barnes, Ian C. Gray
ASIN/ISBN:0470843932
Publish Date:2003
Pages:423 pages
File size:4 Mb
Publish Date: 2003
ISBN: 0470843932
Pages: 423 pages
File Type: PDF
File Size: 4 Mb
Other Info: John Wiley & Sons
   Technical "Bioinformatics for Geneticists" ed. by Michael R. Barnes, Ian C. Gray

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"Bioinformatics for Geneticists" ed. by Michael R. Barnes, Ian C. Gray

Hierarchical Exotoxicology Mini Series

Written specifically for geneticists, this book explains the relevance of bioinformatics showing how it may be used to enhance genetic data mining and markedly improve genetic analysis.

This book illustrates the value of bioinformatics, not simply as a set of tools but rather as a science increasingly essential to navigate and manage the host of information generated by genomics and the availability of completely sequenced genomes.

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• | •

Bioinformatics can be used at all stages of genetics research: to improve study design, to assist in candidate gene identification, to aid data interpretation and management and to shed light on the molecular pathology of disease-causing mutations.

Contents

List of contributors

Foreword

SECTION I. AN INTRODUCTION TO BIOINFORMATICS FOR THE GENETICIST

Chapter 1 Introduction: The Role of Genetic Bioinformatics

Chapter 2 Internet Resources for the Geneticist

Chapter 3 Human Genetic Variation: Databases and Concepts

Chapter 4 Finding, Delineating and Analysing Genes

SECTION II. THE IMPACT OF COMPLETE GENOME SEQUENCES ON GENETICS

Chapter 5 Assembling a View of the Human Genome

Chapter 7 Genetic and Physical Map Resources—An Integrated View

SECTION III. BIOINFORMATICS FOR GENETIC STUDY DESIGN

Chapter 8 From Linkage Peak to Culprit Gene: Following Up Linkage Analysis of Complex Phenotypes with Population-based Association Studies

Chapter 9 Genetic Studies from Genomic Sequence

Chapter 10 SNP Discovery and PCR-based Assay Design: From In Silico Data to the Laboratory Experiment

Chapter 11 Tools for Statistical Analysis of Genetic Data

SECTION IV. BIOLOGICAL SEQUENCE ANALYSIS AND CHARACTERIZATION

Chapter 12 Predictive Functional Analysis of Polymorphisms: An Overview

Chapter 13 Functional In Silico Analysis of Non-coding SNPs

Chapter 14 Amino Acid Properties and Consequences of Substitutions

SECTION V. GENETICS/GENOMICS INTERFACES

Chapter 15 Gene Expression Informatics and Analysis

Chapter 16 Proteomic Informatics

Chapter 17 Concluding Remarks: Final Thoughts and Future Trends

Acknowledgements

References

Appendix I

Appendix II

Glossary

Index

with TOC BookMarkLinks

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