プロテオミクスとゲノミクスの自動化<br>Automation in Proteomics and Genomics : An Engineering Case-Based Approach

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プロテオミクスとゲノミクスの自動化
Automation in Proteomics and Genomics : An Engineering Case-Based Approach

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  • 製本 Hardcover:ハードカバー版/ページ数 321 p.
  • 言語 ENG
  • 商品コード 9780470727232
  • DDC分類 543

Full Description


In the last decade DNA sequencing costs have decreased over a magnitude, largely because of increasing throughput by incremental advances in tools, technologies and process improvements. Further cost reductions in this and in related proteomics technologies are expected as a result of the development of new high-throughput techniques and the computational machinery needed to analyze data generated. Automation in Proteomics & Genomics: An Engineering Case-Based Approach describes the automation technology currently in the areas of analysis, design, and integration, as well as providing basic biology concepts behind proteomics and genomics. The book also discusses the current technological limitations that can be viewed as an emerging market rather than a research bottleneck.Topics covered include: molecular biology fundamentals: from 'blueprint' (DNA) to 'task list' (RNA) to 'molecular machine' (protein); proteomics methods and technologies; modelling protein networks and interactions analysis via automation: DNA sequencing; microarrays and other parallelization technologies; protein characterization and identification; protein interaction and gene regulatory networks design via automation: DNA synthesis; RNA by design; building protein libraries; synthetic networks integration: multiple modalities; computational and experimental methods; trends in automation for genomics and proteomics new enabling technologies and future applications Automation in Proteomics & Genomics: An Engineering Case-Based Approach is an essential guide to the current capabilities and challenges of high-throughput analysis of genes and proteins for bioinformaticians, engineers, chemists, and biologists interested in developing a cross-discipline problem-solving based approach to systems biology.

Table of Contents

Preface                                            ix
List of Contributors xv
About the Editors xvii
SECTION 1 FUNDAMENTALS OF MOLECULAR AND
CELLULAR BIOLOGY
The Central Dogma: From DNA to RNA, and to 3 (18)
Protein
Takashi Ohtsuki
Masahiko Sisido
Genomes to Proteomes 21 (28)
Ellen A. Panisko
Igor Grigoriev
Don S. Daly
Bobbie-Jo Webb-Robertson
Scott E. Baker
SECTION 2 ANALYSIS VIA AUTOMATION
High-Throughput DNA Sequencing 49 (20)
Tarjei S. Mikkelsen
Modeling a Regulatory Network Using 69 (28)
Temporal Gene Expression Data: Why and How?
Sophie Lebre
Gaelle Lelandais
Automated Prediction of Protein Attributes 97 (48)
and Its Impact on Biomedicine and Drug
Discovery
Kuo-Chen Chou
Molecular Interaction Networks: Topological 145 (32)
and Functional Characterizations
Xiaogang Wu
Jake Y. Chen
SECTION 3 DESIGN VIA AUTOMATION
DNA Synthesis 177 (16)
Jingdong Tian
Computational and Experimental RNA 193 (28)
Nanoparticle Design
Isil Severcan
Cody Geary
Luc Jaeger
Eckart Bindewald
Wojciech Kasprzak
Bruce A. Shapiro
New Paradigms in Droplet-Based 221 (30)
Microfluidics and DNA Amplification
Michael L. Samuels
John Leamon
Jonathan Rothberg
Ronald Godiska
Thomas Schoenfeld
David Mead
Synthetic Networks 251 (24)
Jongmin Kim
SECTION 4 INTEGRATION
Molecular Modeling of CYP Proteins and its 275 (18)
Implication for Personal Drug Design
Jing-Fang Wang
Cheng-Cheng Zhang
Jing-Yi Yan
Kuo-Chen Chou
Dong-Qing Wei
Recent Progress of Bioinformatics in 293 (16)
Membrane Protein Structural Studies
Hong-Bin Shen
Jun-Feng Wang
Li-Xiu Yao
Jie Yang
Kuo-Chen Chou
Trends in Automation for Genomics and 309 (6)
Proteomics
Gil Alterovitz
Roseann Benson
Marco Ramoni
Dmitriy Sonkin
Index 315