Bøger i Translational Bioinformatics serien

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 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 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.

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 covers the emerging area of science, Clinical Lipidomics, which is the application of lipidology to the understanding of physiological and pathophysiological changes of lipidomes, with a special focus on lipidomic profiles in human diseases.Lipidomics is widely used to map lipid molecular species in a biological system. Clinical lipidomic analysis has demonstrated the comprehensive characterization of molecular lipids in various severities, durations, and therapies as a critical tool in identification and validation of disease-specific biomarkers. This volume on Clinical Lipidomics will add to the literature and help advance the knowledge of the pathogenesis, diagnosis, prevention and treatment of diseases.

The volume provides a 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.

This book introduces the reader to modern computational and statistical tools for translational epigenomics research.

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;

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.

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.

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 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;

"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.

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.

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

Single Cell Sequencing and Systems Immunology

This book introduces the reader to modern computational and statistical tools for translational epigenomics research.

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.

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

"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.

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.

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 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.