Microarray Gene Expression Data Analysis
A Beginner's Guide
1. Edition March 2003
184 Pages, Softcover
Wiley & Sons Ltd
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
Acknowledgements.
Part I: Introduction:.
1. What Are Microarrays?.
2. Use Of Icroarrays To Monitor Gene Expression.
3. Other Uses For Microarrays.
4. Challenges Associated With The Generation Of Large Amounts Of
Complex Data.
5. Future Directions.
Part II: Aspects Of Experimental Design:.
6. Features Of Microarray Data.
7. Designing The Best Experiment.
8. Preparation of Target.
9. Design of Spotted Arrays.
10. Hybridisation.
11. Long Term Considerations.
12. Verification of Results.
Part III: Data Analysis:.
13. Preliminary Processing of Data.
14. Methods for Data Analysis.
15. Graph Models.
16. Software In The Public Domain.
17. Visualisation of Data.
Part IV: Glossary:.
Index.
Colour plates fall between pp. 84 and 85.
microarray gene expression data for beginners. Microarray Gene
Expression Data Analysis ... is arguably the best of its kind
in this regard." Terry Speed, The Walter & Eliza Hall
Institute of Medical Research, Nature Cell Biology, December
2003
"Overall this is an excellent book, it is well referenced and,
to my mind, covers the vast majority of issues an experimenter
needs to consider when venturing into the world of microarray data
analysis. The book fills a clear gap in the field, providing a
rigorous overview of the often confusing .... data analysis issues
that most books on microarrays avoid or treat in a cursory way. I
would say it is essential reading for any laboratory or researcher
active in this rapidly evolving field and is recommended for the
mathematician or statisitican who is interested in the field or who
has been persuaded by their biologist colleague to help them with
their analysis." Steven Russell, University of Cambridge,
Genetical Research, February 2003
"Anyone wishing to gain a basic understanding of microarray gene
expression studies will come away enriched ... A good and
accessible entry point for any biologist who is interested in
getting an overview about how to perform microarray gene expression
studies." D.C.Jamison, George Mason University, Heredity, June
2004
some of the early studies on genome-wide transcriptional regulation
in yeast using microarrays. She is Head of the Clinical Sciences
Microarray Centre at Imperial College, University of London.
John Quackenbush is a principal investigator at The
Institute for Genomic Research (TIGR). His research interests
include development of software for microarray data analysis, gene
indices and comparative genomics.
Alvis Brazma is a computer scientist who has been
involved in microarray data analysis since 1998. He heads
microarray informatics at the European Bioinformatics Institute and
is in charge of establishing a public repository for microarray
data.
