LEADER 04019nam 22005415 450 001 9910149597603321 005 20200629174708.0 024 7 $a10.1007/978-981-10-1503-8 035 $a(CKB)3710000000928195 035 $a(DE-He213)978-981-10-1503-8 035 $a(MiAaPQ)EBC4731709 035 $a(PPN)197137652 035 $a(EXLCZ)993710000000928195 100 $a20161102d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTranslational Biomedical Informatics $eA Precision Medicine Perspective /$fedited by Bairong Shen, Haixu Tang, Xiaoqian Jiang 205 $a1st ed. 2016. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016. 215 $a1 online resource (VI, 332 p. 93 illus., 44 illus. in color.) 225 1 $aAdvances in Experimental Medicine and Biology,$x0065-2598 ;$v939 311 $a981-10-1502-3 311 $a981-10-1503-1 320 $aIncludes bibliographical references. 327 $aNGS 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. 330 $aThis book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level ? e.g. different omics data at the molecular level ? but also data from different levels ? the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics. 410 0$aAdvances in Experimental Medicine and Biology,$x0065-2598 ;$v939 606 $aBioinformatics 606 $aMolecular biology 606 $aBioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15001 606 $aMolecular Medicine$3https://scigraph.springernature.com/ontologies/product-market-codes/B1700X 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 615 0$aBioinformatics. 615 0$aMolecular biology. 615 14$aBioinformatics. 615 24$aMolecular Medicine. 615 24$aComputational Biology/Bioinformatics. 676 $a570.285 702 $aShen$b Bairong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTang$b Haixu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJiang$b Xiaoqian$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910149597603321 996 $aTranslational Biomedical Informatics$92532306 997 $aUNINA