“The material is suitable for researchers, practitioners, and graduate students in bioinformatics, molecular biology, biomedicine, and biotechnology.” (Book News, 1 April 2012)
From the Back Cover
With the increasing use of high-throughput experimental assays, more and more protein interaction databases are becoming available. As a result, computational analysis of protein-to-protein interaction (PPI) data and networks, now known as interactomics, has become an essential tool to determine functionally associated proteins. From wet lab technologies to data management to knowledge extraction, this timely book guides readers through the new science of interactomics, giving them the tools needed to:
Generate and store PPI data
Analyze PPI data and networks
Develop useful applications
The authors have organized the book according to the workflow of interactomics, beginning with data generation and ending with knowledge extraction. Readers will discover how to make full use of all the databases, tools, and techniques currently available for exploiting interactomics data. They'll learn a broad range of approaches for the management and analysis of protein interaction data, including topological-, database-, data mining-, and ontology-based methods. The fundamental principles underlying each of these methods are presented in detail, alongside their advantages and disadvantages.
Throughout the book, case studies enable readers to discover how interactomics enables researchers to generate, represent, store, analyze, and manage PPI data and networks. Moreover, the authors discuss new and emerging applications developed from interactomics research.
Data Management of Protein Interaction Networks is recommended for all bioinformaticians and protein researchers who want to take full advantage of interactomics software tools and methods in order to enhance their knowledge of biological processes.