TY - BOOK ID - 15786145 TI - Translational Bioinformatics and Its Application AU - Wei, Dong-Qing. AU - Ma, Yilong. AU - Cho, William C.S. AU - Xu, Qin. AU - Zhou, Fengfeng. PY - 2017 SN - 9402410457 9402410430 PB - Dordrecht : Springer Netherlands : Imprint: Springer, DB - UniCat KW - Life sciences. KW - Human genetics. KW - Health informatics. KW - Bioinformatics. KW - Biostatistics. KW - Life Sciences. KW - Human Genetics. KW - Health Informatics. KW - Drug development. KW - Medical informatics. KW - Clinical informatics KW - Health informatics KW - Medical information science KW - Development of drugs KW - Drugs KW - New drug development KW - Bio-informatics KW - Biological informatics KW - Development KW - Biology KW - Information science KW - Computational biology KW - Systems biology KW - Data processing KW - Medicine KW - Pharmacology KW - Pharmacy KW - Statistical methods. KW - Medical records KW - Data processing. KW - EHR systems KW - EHR technology KW - EHRs (Electronic health records) KW - Electronic health records KW - Electronic medical records KW - EMR systems KW - EMRs (Electronic medical records) KW - Information storage and retrieval systems KW - Genetics KW - Heredity, Human KW - Human biology KW - Physical anthropology KW - Medical care KW - Biological statistics KW - Biometrics (Biology) KW - Biostatistics KW - Biomathematics KW - Statistics KW - Statistical methods UR - https://www.unicat.be/uniCat?func=search&query=sysid:15786145 AB - This book offers a detailed overview of translational bioinformatics together with real-case applications. Translational bioinformatics integrates the areas of basic bioinformatics, clinical informatics, statistical genetics and informatics in order to further our understanding of the molecular basis of diseases. By analyzing voluminous amounts of molecular and clinical data, it also provides clinical information, which can then be applied. Filling the gap between clinic research and informatics, the book is a valuable resource for human geneticists, clinicians, health educators and policy makers, as well as graduate students majoring in biology, biostatistics, and bioinformatics. ER -