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. 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.
Review
Review of the hardback: 'The book, written by Baldi and Hatfield, is an important and timely addition to the DNA microarray literature ... the first several chapters of the book provide an easy-to-digest overview of the current state of DNA microarrays.' Briefings in Functional Genomics & Proteomics
Review
Review of the hardback: 'Writing a book such as this was a challenging remit and one that the authors have achieved with great success.' Human Genomics
Review
Review of the hardback: 'I recommend very highly this book to statisticians in particular.' Journal of Statistical Computation & Simulation
Synopsis
Concise, 2002 inter-disciplinary introduction to DNA microarray technology, which is revolutionizing biology and medicine.
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.
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.