Description
Book SynopsisStudying 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
Table of ContentsIntroduction. Review of Organic Chemistry. Energy Considerations in Biochemical Reactions. Proteins. DNA. Transcription and Translation. Chromosomes and Gene Regulation. Genetic Variation. DNA Technology. Cell Division. Cell Cycle Control,Cell Death and Cancer. Expression Microarrays. Classification. Clustering. Genetic Regulatory Networks. Intervention. External Intervention Based on Optimal Control Theory. References. Index.
