Synopses & Reviews
Massive data acquisition technologies--such as genome sequencing, high-throughput drug screening, and DNA arrays-- are in the process of revolutionizing biology and medicine. Using the mRNA of a given cell, at a given time, under a given set of conditions, DNA microarrays can provide a snapshot of the level of expression of all the genes in the cell. Such snapshots can be used to study fundamental biological phenomena such as development or evolution, to determine the function of new genes, to infer the role individual genes or groups of genes may play in diseases, and to monitor the effect of drugs and other compounds on gene expression.
Synopsis
Massive data acquisition technologies--such as genome sequencing, high-throughput drug screening, and DNA arrays--are in the process of revolutionizing biology and medicine. This concise, user-friendly and interdisciplinary guide to DNA microarray technology is an introduction and a reference for both biologists and computational scientists. The authors describe the underlying technologies and offer an awareness of the noise and pitfalls present in the data generated. They also provide an idea of the different data mining techniques and algorithms that are available to interpret data, and the advantages and disadvantages of each in differing situations.
Synopsis
DNA microarrays are in the process of revolutionizing biology and medicine. They can provide a snapshot of the level of expression of all the genes in the cell. Such snapshots can be used to study development and evolution, to determine the function of new genes, to infer the role genes may play in diseases, and to monitor the effect of drugs and other compounds on gene expression. This inter-disciplinary introduction to DNA arrays will be essential reading for all researchers wanting to take advantage of this powerful new technology.
About the Author
Pierre Baldi is Professor and Director of the Institute for Genomics and Bioinformatics in the Department of Information and Computer Science and in the Department of Biological Chemistry in the College of Medicine at the University of California, Irvine.Wes Hatfield is a Professor in the Department of Microbiology and Molecular Genetics in the College of Medicine and the Department of Chemical Engineering and Material Sciences in the School of Engineering at the University of California, Irvine.
Table of Contents
Preface; 1. A brief history of genomics; 2. DNA array formats; 3. DNA array readout methods; 4. Gene expression profiling experiments: problems, pitfalls and solutions; 5. Statistical analysis of array data: inferring changes; 6. Statistical analysis of array data: dimensionality reduction, clustering, and regulatory regions; 7. Survey of current DNA array applications; 8. Systems biology: overview of regulatory, metabolic and signaling networks.