In the last decade DNA sequencing costs have decreased over amagnitude, largely because of increasing throughput by incrementaladvances in tools, technologies and process improvements. Furthercost reductions in this and in related proteomics technologies areexpected as a result of the development of new high-throughputtechniques and the computational machinery needed to analyze datagenerated.Automation in Proteomics & Genomics: An EngineeringCase-Based Approach describes the automation technologycurrently in the areas of analysis, design, and integration, aswell as providing basic biology concepts behind proteomics andgenomics. The book also discusses the current technologicallimitations that can be viewed as an emerging market rather than aresearch bottleneck. Topics covered include:* molecular biology fundamentals: from 'blueprint'(DNA) to 'task list' (RNA) to 'molecularmachine' (protein); proteomics methods and technologies;modelling protein networks and interactions* analysis via automation: DNA sequencing; microarrays and otherparallelization technologies; protein characterization andidentification; protein interaction and gene regulatorynetworks* design via automation: DNA synthesis; RNA by design; buildingprotein libraries; synthetic networks* integration: multiple modalities; computational andexperimental methods; trends in automation for genomics andproteomics* new enabling technologies and future applicationsAutomation in Proteomics & Genomics: An EngineeringCase-Based Approach is an essential guide to the currentcapabilities and challenges of high-throughput analysis of genesand proteins for bioinformaticians, engineers, chemists, andbiologists interested in developing a cross-disciplineproblem-solving based approach to systems biology.

Preface.List of Contributors.About the Editors.SECTION 1 FUNDAMENTALS OF MOLECULAR AND CELLULARBIOLOGY1 The Central Dogma: From DNA to RNA, and to Protein(Takashi Ohtsuki, Masahiko Sisido).2 Genomes to Proteomes (Ellen A. Panisko, IgorGrigoriev, Don S. Daly, Bobbie-Jo Webb-Robertson and Scott E.Baker).SECTION 2 ANALYSIS VIA AUTOMATION.3 High-Throughput DNA Sequencing (Tarjei S.Mikkelsen).4 Modeling a Regulatory Network Using Temporal GeneExpression Data: Why and How (Sophie L`ebre and GäelleLelandais)?5 Automated Prediction of Protein Attributes and Its Impacton Biomedicine and Drug Discovery (Kuo-Chen Chou).6 Molecular Interaction Networks: Topological and FunctionalCharacterizations (Xiaogang Wu and Jake Y. Chen).SECTION 3 DESIGN VIA AUTOMATION.7 DNA Synthesis (Jingdong Tian).8 Computational and Experimental RNA Nanoparticle Design(Isil Severcan, Cody Geary, Luc Jaeger, Eckart Bindewald,Wojciech Kasprzak and Bruce A. Shapiro).9 New Paradigms in Droplet-Based Microfluidics and DNAAmplification (Michael L. Samuels, John Leamon, JonathanRothberg, Ronald Godiska,Thomas Schoenfeld and DavidMead).10 Synthetic Networks (Jongmin Kim).SECTION 4 INTEGRATION.11 Molecular Modeling of CYP Proteins and its Implication forPersonal Drug Design (Jing-Fang Wang, Cheng-Cheng Zhang,Jing-Yi Yan, Kuo-Chen Chou and Dong-Qing Wei).12 Recent Progress of Bioinformatics in Membrane ProteinStructural Studies (Hong-Bin Shen, Jun-Feng Wang, Li-XiuYao, Jie Yang and Kuo-Chen Chou).13 Trends in Automation for Genomics and Proteomics(Gil Alterovitz, Roseann Benson, Marco Ramoni and DmitriySonkin).Index.