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Barnes, Michael R. (Hrsg.)
Bioinformatics for Geneticists
A Bioinformatics Primer for the Analysis of Genetic Data

2. Auflage - März 2007
71,90 Euro
2007. 576 Seiten, Softcover
- Praktikerbuch -
ISBN-10: 0-470-02620-0
ISBN-13: 978-0-470-02620-5 - John Wiley & Sons

Preis inkl. Mehrwertsteuer zzgl. Versandkosten.

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Probekapitel

Kurzbeschreibung
Assuming only a basic knowledge of bioinformatics, Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data illustrates the value of bioinformatics as a constantly evolving avenue into novel approaches to study genetics. The book shows how bioinformatics can be applied at all stages of the genetics research process; to improve study design, to assist in marker selection and candidate gene identification, to aid data interpretation and management and to shed new light on the molecular pathology of disease mutations. The book thus enables the reader to enhance the efficiency of their research, in terms of data quality, analysis and experimental costs.

Aus dem Inhalt
Foreword.

Preface.

Contributors.

Glossary.

SECTION I AN INTRODUCTION TO BIOINFORMATICS FOR THE GENETICIST.

1 Bioinformatics challenges for the geneticist (Michael R. Barnes).

2 Managing and manipulating genetic data (Karl W. Broman and Simon C. Heath).

SECTION II MASTERING GENES, GENOMES AND GENETIC VARIATION DATA.

3 The HapMap - A haplotype map of the human genome (Ellen M. Brown and Bryan J. Barratt).

4 Assembling a view of the human genome (Colin A. M. Semple).

5 Finding, delineating and analysing genes (Christopher Southan and Michael R. Barnes).

6 Comparative genomics (Martin S. Taylor and Richard R. Copley).

SECTION III BIOINFORMATICS FOR GENETIC STUDY DESIGN AND ANALYSIS.

7 Identifying mutations in single gene disorders (David P. Kelsell, Diana Blaydon and Charles A. Mein).

8 From Genome Scan Culprit Gene (Ian C. Gray).

9 Integrating Genetics, Genomics and Epigenomics to Identify.

10 Tools for statistical genetics (Aruna Bansal, Charlotte Vignal and Ralph McGinnis).

SECTION IV MOVING FROM ASSOCIATED GENES TO DISEASE ALLELES.

11 Predictive functional analysis of polymorphisms: An overview (Mary Plumpton and Michael R. Barnes).

12 Functional in silico analysis of gene regulatory polymorphism (Chaolin Zhang, Xiaoyue Zhao, Michael Q. Zhang).

13 Amino-acid properties and consequences of substitutions (Matthew J. Betts and Robert B. Russell).

14 Non-coding RNA bioinformatics (James Brown, Steve Deharo, Barry Dancis, Michael R. Barnes and Philippe Sanseau).

SECTION V ANALYSIS AT THE GENETIC AND GENOMIC DATA INTERFACE.

15 What are microarrays? (Catherine A. Ball and Gavin Sherlock).

16 Combining quantitative trait and gene-expression data (Elissa J. Chesler).

17 Bioinformatics and cancer genetics (Joel Greshock).

18 Needle in a haystack? dealing with 500 SNP genome scans (Michael R. Barnes and Paul S. Derwent).

19 A bioinformatics perspective on genetics in drug discovery and development (Christopher D. Southan, Magnus Ulvsb¨ack and Michael R. Barnes).

Appendix I.

Appendix II.

Index.


 
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