Introduction to Genomic Signal Processing with Control

Aniruddha Datta

ISBN 10: 0849371988 / ISBN 13: 9780849371981

Published by Taylor & Francis Inc Nov 2006, 2006

About this Item

Neuware - Introduction to Genomic Signal Processing with Control provides a tutorial introduction to the current engineering research in genomics. This book presents the necessary molecular biology background, assuming no prior exposure, and discusses the application of engineering approaches for attacking the challenging problems that arise in genomics-related research. It also discusses classification and clustering, showing how they are appropriate for carrying out gene-based disease classification, as well as control approaches that can be used to alter the behavior of genetic regulatory networks. The authors include examples in each chapter and the latest engineering results obtained in the genomics context.

Seller Inventory # 9780849371981

Bibliographic Details

• Title: Introduction to Genomic Signal Processing with Control
• Publisher: Taylor & Francis Inc Nov 2006
• Publication Date: 2006
• Language: English
• ISBN 10: 0849371988
• ISBN 13: 9780849371981
• Binding: Buch
• Condition: Neu
• Dimensions: 234W x 156H x 22D millimeters 234 millimeters width by 156 millimeters height by 22 millimeters depth
• Weight: 570 grams

About this title

Synopsis

Studying large sets of genes and their collective function requires tools that can easily handle huge amounts of information. Recent research indicates that engineering approaches for prediction, signal processing, and control are well suited for studying multivariate interactions. A tutorial guide to the current engineering research in genomics, Introduction to Genomic Signal Processing with Control provides a state-of-the-art account of the use of control theory to obtain intervention strategies for gene regulatory networks. The book builds up the necessary molecular biology background with a basic review of organic chemistry and an introduction of DNA, RNA, and proteins, followed by a description of the processes of transcription and translation and the genetic code that is used to carry out the latter. It discusses control of gene expression, introduces genetic engineering tools such as microarrays and PCR, and covers cell cycle control and tissue renewal in multi-cellular organisms. The authors then delineate how the engineering approaches of classification and clustering are appropriate for carrying out gene-based disease classification. This leads naturally to expression prediction, which in turn leads to genetic regulatory networks. The book concludes with a discussion of control approaches that can be used to alter the behavior of such networks in the hope that this alteration will move the network from a diseased state to a disease-free state. Written by recognized leaders in this emerging field, the book provides the exact amount of molecular biology required to understand the engineering applications. It is a self-contained resource that spans the diverse disciplines of molecular biology and electrical engineering.

About the Author

Aniruddha Datta, Edward R. Dougherty