Translational Bioinformatics and Systems Biology Methods for Personalized Medicine
  • Release Date : 18 April 2017
  • Publisher : Academic Press
  • Categories : Computers
  • Pages : 182 pages
  • ISBN 13 : 9780128043882
  • ISBN 10 : 0128043881
Score: 4
From 245 Ratings
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Synopsis : Translational Bioinformatics and Systems Biology Methods for Personalized Medicine written by Qing Yan, published by Academic Press which was released on 18 April 2017. Download Translational Bioinformatics and Systems Biology Methods for Personalized Medicine Books now! Available in PDF, EPUB, Mobi Format. 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