Bøger i Translational Bioinformatics serien

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 "e;What"e;, "e;Why"e; and "e;How"e; 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.

The Book mainly focuses on various aspects of regionalized management of medicine, related with updates of new biotechnology, application of therapeutic strategy, and understanding of disease-associated molecular mechanisms. The book also discusses how medical informatics, systems analysis, database sharing, and artificial intelligent can be applied for improving the quality of hospital managements, disease therapies, regional collaborations, and medical services.This book serves as a professional reference book to clinicians and experts who are interested in medical informatics and artificial intelligence for diseases therapies and therapeutic strategy, better systems analysis and database sharing, and more efficient regional collaborations and medical services.

This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the ¿What¿, ¿Why¿ and ¿How¿ of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.

This book elucidates how advances in genomics research are being applied in connection with heart diseases. The book offers an important reference work on introducing genomics in heart disease for all scientists and graduate students whose work involves genomics and cardiology, as well as for clinical physicians.

This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased "-omics" combined with disease-focused and hypothesis-driven approaches, it enhances readers' understanding of the asthma endotype. Furthermore, it elucidates how progress in -omics research, such as "genomic," "transcriptomic," "protomic," and "metabolomic," is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases.

The book describes the core resources in informatics necessary to support biomedical research programs and how these can best be integrated with hospital systems to receive clinical information that is necessary to conduct translational research.

He is Director of ShanghaiInstitute of Clinical Bioinformatics, Director of Fudan University Center forClinical Bioinformatics, Deputy Director of Shanghai Respiratory ResearchInstitute, Director of Biomedical Research Center, Fudan University ZhongshanHospital, Shanghai, China;

This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve prognosis, diagnostics, prediction of severity, and therapies for human diseases.

The book introduces the bioinformatics resources and tools available for the study of allergenicity. Dr. Ailin Tao is the chief of Guangdong Province Key Laboratory of Allergy & Clinical Immunology, Principal Investigator of the State Key Laboratory of Respiratory Disease, the Second Affiliated Hospital of Guangzhou Medical University;

This book introduces informatics resources that can accelerate the transfer of information from bench to bedside. Furthermore, it addresses special challenges posed by support of clinical and basic research involving children and their families.

He is Director of ShanghaiInstitute of Clinical Bioinformatics, Director of Fudan University Center forClinical Bioinformatics, Deputy Director of Shanghai Respiratory ResearchInstitute, Director of Biomedical Research Center, Fudan University ZhongshanHospital, Shanghai, China;

The book is intended to be a resource for students as well as scientists in education and for the general public to learn about proteomics and genomics. The book will be useful for undergraduate students as well as university students and researchers who need a good understanding of genomics and proteomics within the clinical field.

The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction.

"Applied Computational Genomics" focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis.

"Bioinformatics of Human Proteomics" discusses the development of methods, techniques and applications in the field of protein bioinformatics, an important direction in bioinformatics.

The book is intended to be a resource for students as well as scientists in education and for the general public to learn about proteomics and genomics. The book will be useful for undergraduate students as well as university students and researchers who need a good understanding of genomics and proteomics within the clinical field.