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Introduction to Genomic Signal Processing with Control
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 des...
Modeling and Control of Complex Systems
Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying to understand pos
Genomic Signal Processing and Statistics
Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researc...
Biocomputing
Since the mid-1990s advances in DNA sequencing have enhanced our understanding of humanity and all living things. Driven by these advances, the closely related sciences of Bioinformatics and Biocomputing have become the ultimate interdisciplinary study areas, forever blurring the lines between engineering, biology and computer science and bringing together researchers who ordinarily wouldn't interact. While Bioinformatics largely focuses on the analysis, prediction, imaging and sequencing of genes, the broader, interdisciplinary field of Biocomputing includes the study of biological models of computing using traditional materials, genomic modelling and visualisation, biomaterials for non-tra...
Molecular Analysis of Cancer
Over the past 20 years, technological advances in molecular biology have proven invaluable to the understanding of the pathogenesis of human cancer. The application of molecular technology to the study of cancer has not only led to advances in tumor diagnosis, but has also provided markers for the assessment of prognosis and disease progression. The aim of Molecular Ana- sis of Cancer is to provide a comprehensive collection of the most up-to-date techniques for the detection of molecular changes in human cancer. Leading researchers in the field have contributed chapters detailing practical pro- dures for a wide range of state-of-the-art techniques. Molecular Analysis of Cancer includes chap...
Functional Genomics
With the complete genomes of many organisms now available, and the first draft of the human genome imminent, there is an increasing demand from researchers in a range of disciplines for techniques that will allow them to utilize these resources in their own research. This book provides a comprehensive treatment of the range of methods available for gene and protein expression profiling in a variety of systems. These include large-scale methods, such as cDNA microarrays, serial analysis of gene expression (SAGE) and proteomics, and also methods suitable for non-specialist laboratories, such as differential display and suppression subtraction hybridization. In all cases the chapters have been written by the developers of these methods or experienced users and include detailed protocols to facilitate the introduction of these methods to the readers' laboratories.
Emerging Research in the Analysis and Modeling of Gene Regulatory Networks
While technological advancements have been critical in allowing researchers to obtain more and better quality data about cellular processes and signals, the design and practical application of computational models of genomic regulation continues to be a challenge. Emerging Research in the Analysis and Modeling of Gene Regulatory Networks presents a compilation of recent and emerging research topics addressing the design and use of technology in the study and simulation of genomic regulation. Exploring both theoretical and practical topics, this publication is an essential reference source for students, professionals, and researchers working in the fields of genomics, molecular biology, bioinformatics, and drug development.
Computational and Statistical Approaches to Genomics
The second edition of this book adds eight new contributors to reflect a modern cutting edge approach to genomics. It contains the newest research results on genomic analysis and modeling using state-of-the-art methods from engineering, statistics, and genomics. These tools and models are then applied to real biological and clinical problems. The book’s original seventeen chapters are also updated to provide new initiatives and directions.
