Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.

Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network modelsDiscusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain ConnectomesIncludes a discussion of various graph theoretic and data analytics approaches

1. Introduction 2. Preliminaries of Graph Theory 3. Graph Analysis 4. Complex Network Models 5. Graph Databases in Bioinformatics and Computational Biology 6. Gene Regulatory Networks-Inference and Analysis 7. Protein Protein Interaction Networks 8. Brain Connectomes and Analysis 9. Conclusion