Microarray Gene Expression Data Analysis: A Beginner's Guide
April 2003, Wiley-Blackwell
- 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
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.
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:.
Colour plates fall between pp. 84 and 85.
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.
- 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.
"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