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Translational Biomedical Informatics

A Precision Medicine Perspective

Bairong Shen, Haixu Tang, Xiaoqian Jiang (Herausgeber)

Buch | Hardcover

332 Seiten

2016 | 1st ed. 2016
Springer Verlag, Singapore
978-981-10-1502-1 (ISBN)

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This book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level – e.g. different omics data at the molecular level – but also data from different levels – the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics.

Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University and is also Director of Taicang Center for Translational Bioinformatics. Dr. Haixu Tang is Professor at School of Informatics and Computing, Indiana University, Bloomington,USA Dr. Xiaoqian Jiang is Assistant Professor at Department of Biomedical Informatics University of California, San Diego, USA

NGS for sequence variants (HVP).- RNA Bioinformatics for Precision Medicine.- Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling.- Computational methods in mass spectrometry based proteomics.- Informatics for Metabolomics

.- Metagenomics and Single-cell Omics Data Analysis for Human Microbiome Research.- Text Mining for Precision Medicine: Bringing structure to EHRs and biomedical literature to understand genes and health.- Medical Imaging Informatics.- LIMS and clinical data management.- Biobanks and their clinical application and informatics challenges.- Methods to Improve Distributed Analysis in Biomedical Informatics.- XML, ontologies, and their clinical applications.- Bayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data.- Network-based Biomedical Data Analysis.

Erscheinungsdatum	26.11.2016
Reihe/Serie	Advances in Experimental Medicine and Biology ; 939
Zusatzinfo	44 Illustrations, color; 49 Illustrations, black and white; VI, 332 p. 93 illus., 44 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Informatik ► Weitere Themen ► Bioinformatik
	Medizin / Pharmazie ► Gesundheitswesen
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
	Technik ► Medizintechnik
Schlagworte	Biomedical big data • Cloud computing and deep learning • Integrative and systems analysis • Standards and privacy • Translational research
ISBN-10	981-10-1502-3 / 9811015023
ISBN-13	978-981-10-1502-1 / 9789811015021
Zustand	Neuware