Translational Biomedical Informatics: A Precision Medicine Perspective (Advances in Experimental Medicine and Biology Book 939)

"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"--Publisher's description Front Matter....Pages i-vi NGS for Sequence Variants....Pages 1-20 RNA Bioinformatics for Precision Medicine....Pages 21-38 Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling....Pages 39-61 Computational Methods in Mass Spectrometry-Based Proteomics....Pages 63-89 Informatics for Metabolomics....Pages 91-115 Metagenomics and Single-Cell Omics Data Analysis for Human Microbiome Research....Pages 117-137 Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health ....Pages 139-166 Medical Imaging Informatics....Pages 167-224 LIMS and Clinical Data Management....Pages 225-239 Biobanks and Their Clinical Application and Informatics Challenges....Pages 241-257 XML, Ontologies, and Their Clinical Applications....Pages 259-287 Bayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data....Pages 289-307 Network-Based Biomedical Data Analysis....Pages 309-332