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Celotno besedilo
  • Applied computational genomics [Elektronski vir]
    Applied Computational Genomics' focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, ... population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA
    Vrsta gradiva - e-knjiga
    Založništvo in izdelava - Dordrecht ; New York : Springer Science + Business Media, ©2012
    Jezik - angleški
    ISBN - 978-94-007-5558-1; 94-007-5558-9
    COBISS.SI-ID - 1545545951

    Povezava(-e):

    SpringerLink e-books 2008-2012

    Celotno besedilo dostopno za uporabnike SpringerLink slovenskega konzorcija neprofitnih institucij

    Full text accessible to the users of SpringerLink Slovenian Consortium of Non-Profit Institutions


    DOI

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