Traditional Chinese Medicine and Diseases: An Omics Big-data Mining Perspective

This book focuses on the multi-omics big-data integration, the  data-mining techniques and the cutting-edge omics researches in  principles and applications for a deep understanding of Traditional  Chinese Medicine (TCM) and diseases from the following aspects: (1)  Basics about multi-omics data and analytical methods for TCM and  diseases. (2) The needs of omics studies in TCM researches, and the  basic background of omics research in TCM and disease. (3) Better  understanding of the multi-omics big-data integration techniques. (4)  Better understanding of the multi-omics big-data mining techniques, as  well as with different applications, for most insights from these omics  data for TCM and disease researches. (5) TCM preparation quality control  for checking both prescribed and unexpected ingredients including  biological and chemical ingredients. (6) TCM preparation source  tracking.  (7) TCM preparation network pharmacology analysis. (8) TCM  analysis data resources, web services, and visualizations. (9) TCM  geoherbalism examination and authentic TCM identification. Traditional  Chinese Medicine has been in existence for several thousands of years,  and only in recent tens of years have we realized that the researches on  TCM could be profoundly boosted by the omics technologies. Devised as a  book on TCM and disease researches in the omics age, this book has put  the focus on data integration and data mining methods for multi-omics  researches, which will be explained in detail and with supportive  examples the “What”, “Why” and “How” of omics on TCM related researches.  It is an attempt to bridge the gap between TCM related multi-omics big  data, and the data-mining techniques, for best practice of contemporary  bioinformatics and in-depth insights on the TCM related questions.