Microarray Gene Expression Data Analysis: A Beginner's Guide

by Helen Causton (Imperial College); John Quackenbush (The Institute for Genomic Research); Alvis Brazma (The European Bioinformatics Institute)

• ISBN13: 9781444311563
• ISBN10: 1444311565
• Format: eBook
• Copyright: 2009-04-01
• Publisher: Wiley-Blackwell

Summary

This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression. Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly Short, concise text on this difficult topic area Clear illustrations throughout Written by well-known teachers in the subject Provides insight into how to analyse the data produced from microarrays

Table of Contents

Preface

Acknowledgements

Introduction:

What Are Microarrays?

Use Of Icroarrays To Monitor Gene Expression

Other Uses For Microarrays

Challenges Associated With The Generation Of Large Amounts Of Complex Data

Future Directions

Aspects Of Experimental Design:

Features Of Microarray Data

Designing The Best Experiment

Preparation of Target

Design of Spotted Arrays

Hybridisation

Long Term Considerations

Verification of Results

Data Analysis:

Preliminary Processing of Data

Methods for Data Analysis

Graph Models

Software In The Public Domain

Visualisation of Data

Glossary:

Index

Colour plates fall between pp. 84 and 85

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