Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies. The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine. - Introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine - Presents a problem-solving oriented methodology to deal with practical problems in various applications - Covers both basic scientific and clinical applications in order to enhance the collaboration between researchers and clinicians - Brings integrative and multidisciplinary approaches to bridge the gaps among various knowledge domains in the field

Dr. Qing Yan has extensive research experience in translational bioinformatics and systems biology, including more than 14 years as a group leader in the biopharmaceutical industry. He has published numerous research papers and book chapters, and edited six biomedical books including Systems Biology in Drug Discovery and Development: Methods and Protocols and Pharmacogenomics in Drug Discovery and Development.

Dr. Yan received a Ph.D. degree in Biological and Medical Informatics from the University of California San Francisco (UCSF).

Part I. Concepts and Basic Tools 1. Introduction: Translational Bioinformatics and Personalized Medicine 2. Systems and Dynamical Medicine: The Roles of Translational Bioinformatics 3. Translational Bioinformatics Support for "Omics Studies: Methods and Resources 4. Data Integration, Data Mining, and Decision Support in Biomedical Informatics

Part II. Applications in Basic Sciences 5. Applying Translational Bioinformatics for Biomarker Discovery 6. Biomarkers From Systems Biology and "Omics Studies: Applications and Examples 7. Understanding Dynamical Diseases: Translational Bioinformatics Approaches

Part III. Applications in Clinical and Translational Sciences 8. Translational Bioinformatics Methods for Drug Discovery and Development 9. Translational Bioinformatics and Systems Biology for Understanding Inflammation 10. Cardiovascular Diseases and Diabetes: Translational Bioinformatics and Systems Biology Methods 11. Translational Bioinformatics and Systems Biology for Cancer Precision Medicine 12. Aging and Age-Associated Diseases: Translational Bioinformatics and Systems Biology Methods