Traditional Chinese Medicine and Diseases

An Omics Big-data Mining Perspective

Häftad, Engelska, 2023

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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.

Produktinformation

Utgivningsdatum2023-10-05
Mått155 x 235 x 9 mm
Vikt242 g
FormatHäftad
SpråkEngelska
SerieTranslational Bioinformatics
Antal sidor139
FörlagSpringer Verlag, Singapore
ISBN9789811947735

Tillhör följande kategorier

Alternativ medicin och terapier inom Medicin
Apotek och farmaceuter inom Medicin
Matematisk statistik inom Naturvetenskap och teknik
Biologi inom Naturvetenskap och teknik
Biovetenskap inom Naturvetenskap och teknik
Databaser inom Data och it

Dr. Kang Ning, Professor and Director of Department of Bioinformatics and Systems Biology, School of Life Science and Technology, Huazhong University of Science and Technology. Dr. Ning obtained his BS in Computer Science from University of Science and Technology of China, and PhD in Bioinformatics from National University of Singapore. He obtained his Post-Doc training in Bioinformatics at University of Michigan, Ann Arbor. He has been devoting to bioinformatics research for more than 20 years focusing on omics big-data integration, microbiome analyses, and single-cell analyses. His current research interests include AI methods for multi-omics especially metagenomics data mining and their applications. He is also interested in synthetic biology and TCM omics. Dr. Ning as the leading or corresponding author, published over 100 research articles and reviews on leading journals including PNAS, Gut, Genome Biology, Genome Medicine, Nucleic Acids Research and Bioinformatics, with morethan 4,000 citations in total. He is the committee member of several national bioinformatics and biology big-data committees in China. He serves as an editorial board member of the journals including Genomics Proteomics and Bioinformatics, Microbiology Spectrum and Scientific Reports, and served as reviewers for several international funding agencies including UK-BBSRC and UK-NERC.

Chapter 1. Introduction to multi-omics data and analytical methods for TCM and diseases.- Chapter 2. TCM and diseases: the needs for multi-omics.- Chapter 3. TCM related multi-omics data integration techniques.- Chapter 4. TCM related multi-omics data mining techniques.- Chapter 5. TCM preparation quality control: biological and chemical ingredient analysis.- Chapter 6. TCM preparation source tracking.- Chapter 7. TCM preparation network pharmacology analysis.- Chapter 8. TCM analysis data resources, web services and visualizations.- Chapter 9. TCM geoherbalism examination and authentic TCM identification.