Genomic Control Process
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Genomic Control Process
Genomic Control Process explores the biological phenomena around genomic regulatory systems that control and shape animal development processes, and which determine the nature of evolutionary processes that affect body plan. Unifying and simplifying the descriptions of development and evolution by focusing on the causality in these processes, it provides a comprehensive method of considering genomic control across diverse biological processes. This book is essential for graduate researchers in genomics, systems biology and molecular biology seeking to understand deep biological processes which regulate the structure of animals during development. - Covers a vast area of current biological research to produce a genome oriented regulatory bioscience of animal life - Places gene regulation, embryonic and postembryonic development, and evolution of the body plan in a unified conceptual framework - Provides the conceptual keys to interpret a broad developmental and evolutionary landscape with precise experimental illustrations drawn from contemporary literature - Includes a range of material, from developmental phenomenology to quantitative and logic models, from phylogenetics to the molecular biology of gene regulation, from animal models of all kinds to evidence of every relevant type - Demonstrates the causal power of system-level understanding of genomic control process - Conceptually organizes a constellation of complex and diverse biological phenomena - Investigates fundamental developmental control system logic in diverse circumstances and expresses these in conceptual models - Explores mechanistic evolutionary processes, illuminating the evolutionary consequences of developmental control systems as they are encoded in the genome
Decoding the Genomic Control of Immune Reactions
This book explores existing and potential strategies for using the genome sequences of human, mouse, other vertebrates and human pathogens to solve key problems in the treatment of immunological diseases and chronic infections. The assembled genome sequences now provide important opportunities for solving these problems, but a major bottleneck is the identification of key sequences and circuits controlling the relevant immune reactions. This will require innovative, interdisciplinary and collaborative strategies of a scale and complexity we are only now beginning to comprehend. Specific problems addressed include the following: What kinds of information are we lacking to understand how the genome sequence specifies the differentiation and response of immune system cells, and system behaviour such as immunological memory and tolerance? Which genome sequences and cellular circuits cause or prevent pathological immune responses to foreign pathogens, allergens or self-tissues? Which host and pathogen genome sequences and cellular circuits explain the failure of sterilizing immune responses to sophisticated human pathogens such as the agents of tuberculosis, malaria, metazoan parasites and chronic viruses? Containing contributions from a range of leading experts in the field, this book provides an important new perspective for clinical immunologists and basic researchers alike.
Genomic Signal Processing and Statistics
Author: Edward R. Dougherty
language: en
Publisher: Hindawi Publishing Corporation
Release Date: 2005
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 researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.