rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Translational Biomedical Informatics
    sub title: A Precision Medicine Perspective
  name:
    name part: Shen, Bairong.
    role:
      role term: editor.
  name:
    name part: Tang, Haixu.
    role:
      role term: editor.
  name:
    name part: Jiang, Xiaoqian.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VI, 332 p. 93 illus., 44 illus. in color. online resource.
  abstract: 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.
  table of contents: 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.
  note: edited by Bairong Shen, Haixu Tang, Xiaoqian Jiang.
  subject:
    topic: Life sciences
  subject:
    topic: Molecular biology
  subject:
    topic: Bioinformatics
  subject:
    topic: Life Sciences
  subject:
    topic: Bioinformatics
  subject:
    topic: Molecular Medicine
  subject:
    topic: Computational Biology/Bioinformatics
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Experimental Medicine and Biology, 939
  identifier: 9789811015038
  identifier: http://dx.doi.org/10.1007/978-981-10-1503-8
  record info:
    record creation date: 161102
    record change date: 20161102094610.0
    record identifier: 978-981-10-1503-8