The complexity of biological systems has intrigued scientists from many disciplines and has given birth to the highly influential field of systems biology wherein a wide array of mathematical techniques, such as flux balance analysis, and technology platforms, such as next generation sequencing, is used to understand, elucidate, and predict the functions of complex biological systems. More recently, the field of synthetic biology, i.e., de novo engineering of biological systems, has emerged. Scientists from various fields are focusing on how to render this engineering process more predictable, reliable, scalable, affordable, and easy.

1 Network Biomarker Construction for Molecular Investigation and Diagnosis of Lung Cancervia Microarray Data.- 2 The Impact of Next Generation Sequencing Technology on Bacterial Genomics.- 3 Sensitivity Analysis of Circadian Entrainment in the Space of Phase Response Curves.- 4 Modelling and Analysis of Feedback Control Mechanisms Underlying Osmoregulation in Yeast.- 5 Analysis of Synchronizing Biochemical Networks via Incremental Dissipativity.- 6 Robustness Model Validation of Bistability in Biomolecular Systems.- 7 Meta-DNA: A DNA-Based Approach to Synthetic Biology.- 8 Towards Modeling Automation for Synthetic Biology.- 9 An Investigation of Signal Transduction and Irreversible Decision Making through Monostable and Bistable Switches.- 10 From Specification to Parameters: A Linearization Approach.- 11 Simplified Computational Design of Digital Synthetic Gene Circuits.- 12 Synthetic Biochemical Devices for Programmable Dynamic Behavior.- Index.