Microarray gene expressions data analysis : a beginner's guide

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 Emphasizing underlying concepts and principles, this concise guide describes the design of microarray experiments and the analysis of the data they produce. Intended for graduate students and bioinformatics researchers, the book stresses the conceptual aspects of analysis and keeps mathematical complexities to a minimum. The authors are scientists with the University of London, The Institute for Genomic Research, and the European Bioinformatics Institute. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com) The last 5-10 years have brought spectacular achievements in genome sequencing - five higher organisms and over 60 microbes have been sequenced, the draft human genome has been published, and substantial parts of several other eukaryotic genomes are now known.