- Edited by the team responsible for “Systems Bioinformatics: An Engineering Case-Based Approach” – ranked number one in current sales for bioinformatics on Amazon
- Based on the course material from two popular MIT and Harvard interdisciplinary special studies courses which have an engineering-based, problem solving approach
- Describes current automation technology in areas of analysis, design, and integration, as well as providing basic biology concepts behind proteomics and genomics.
- Identifies development opportunities that could inspire the next incremental improvement or disruptive technology to change the research landscape dramatically
Table of Contents
List of Contributors.
SECTION 1: FUNDAMENTALS OF MOLECULAR AND CELLULAR BIOLOGY.
1. The Central Dogma: from DNA to RNA, and to Protein (Takashi Ohtsuki and
2. Genomes to Proteomes (Ellen A. Panisko, Igor Grigoriev, Don S. Daly, Bobbie-Jo Webb-Robertson and Scott E. Baker).
SECTION 2: ANALYSIS VIA AUTOMATION.
3. High-throughput DNA Sequencing (Tarjei Mikkelsen).
4. Modeling a regulatory network using temporal gene expression data: why and how (Sophie Lébre, Gaëlle Lelandais).
5. Automated Prediction of Protein Attributes and Its Impact to Biomedicine and Drug Discovery (Kuo-Chen Chou).
6. Molecular Interaction Networks: Topological and Functional Characterizations (Jake Chen and Xiaogang Wu).
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 DNA Amplification (Michael Samuels, John Leamon, Jonathan Rothberg, Ronald Godiska, Thomas Schoenfeld and David Mead).
10. Synthetic Networks (Jongmin Kim).
SECTION 4: INTEGRATION.
11. Molecular Modeling of CYP Proteins and Its Implication for Personal Drug
Design (Chengcheng Zhang, Jingyi Yan, Jingfang Wang, Kuo-Chen Chou and Dongqing
12. Recent Progress of Bioinformatics in Membrane Protein Structural Studies (Hong-Bin Shen, Jun-Feng Wang, Li-Xiu Yao, Jie Yang and Kuo-Chen Chou).
13. Trends in Automation for Genomics and Proteomics (Gil Alterovitz, Roseann Benson, Marco Ramoni and Dmitriy Sonkin).