Translational Bioinformatics and Systems Biology Methods for Personalized Medicine (Paperback)

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

《個體化醫學的轉譯生物信息學和系統生物學方法》介紹了整合的轉譯生物信息學和系統生物學方法，以支持個體化、精準、預測、預防和參與式醫學的實踐。通過描述生物信息學和系統生物學中重要的尖端技術，讀者可以獲得對最新方法論的基本理解。

本書討論了轉譯生物信息學面臨的挑戰和任務；藥物基因組學、系統生物學和個體化醫學；以及轉譯生物信息學在生物標記發現、表觀基因組學和分子動力學中的應用性。它還討論了數據整合和挖掘、免疫信息學和神經信息學。本書涵蓋了基礎科學和臨床應用的廣泛範疇，適合廣大讀者閱讀，即使他們不是科學家，也對個體化醫學的實踐感興趣。

本書的特點包括：
- 介紹整合的轉譯生物信息學和系統生物學方法，以支持個體化、精準、預測、預防和參與式醫學的實踐
- 提供以解決問題為導向的方法論，應對各種應用中的實際問題
- 涵蓋基礎科學和臨床應用，以增強研究人員和臨床醫生之間的合作
- 採用整合和多學科方法，彌合該領域各種知識領域之間的差距