Microarray Gene Expression Data Analysis: A Beginner's Guide - Softcover

Causton, Helen; Quackenbush, John; Brazma, Alvis

Softcover

ISBN 10: 1405106824 ISBN 13: 9781405106825

Publisher: Wiley-Blackwell, 2003

Synopsis

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

About this title

About the Author

Helen Causton is an experimental biologist who carried out 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.

From the Back Cover

Microarray technology is arguably the most important recent breakthrough in molecular biology. It enables researchers to obtain snapshots of gene expression for all the genes in a genome in a single experiment. Microarray experiments generate massive amounts of data that can be analysed to extract new knowledge about the underlying biological processes.

This guide covers aspects of designing microarray experiments and analysing the data generated, and includes 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.

This guide covers aspects of designing microarray experiments and analysing the data generated, and includes 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.

Edition details

• Publisher: Wiley-Blackwell
• Publication date: 2003
• Language: English
• ISBN 10: 1405106824
• ISBN 13: 9781405106825
• Binding: Paperback
• Edition number: 1
• Number of pages: 184