Systems Biology and In-Depth Applications for Unlocking Diseases: Principles, Tools, and Application to Disease (Paperback)

Part 1. Introduction 1.1 Systems biology at a glance 1.2. A history on systems biology evolution 1.3. Brief information on cellular biology and signaling pathways 1.4. Systems biology: where are we? 1.5. Filling the gaps between systems biology and cell biology 1.6 Concluding remarks 1.7 Mathematical concepts 1.5. Kinetic and dynamics of biological systems Part 2. Tools and Resources 2.1. Biological data sources 2.1.1. Microarray 2.1.2. Next generation sequencing (NGS) 2.1.3. Comparative genomic hybridization (CGH) 2.1.4. Single nucleotide polymorphisms (SNP) 2.2. High throughput data 2.1.2. Databases 2.3. Programming, tools and software Part 3. Systems biology in action ? to understand diseases 3.1 Big data analysis techniques 3.2 Reconstruction of genome and proteomic scale network structures and functions 3.3 Validation strategies 3.3.1 Mathematical model development 3.3.2 Biological gene expression models 3.3.3 Experimental techniques 3.4 Applications of systems biology extensions in diseases 3.4.1 Systems immunology 3.4.2 Systems pharmacology 3.4.3 Systems virology 3.4.4 Systems vaccinology 3.4.5 Systems neuroscience 3.4.6 Systems medicine 3.4.7 Future directions on systems biology