• Login
    View Item 
    •   Home
    • Events
    • KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology, January 2016
    • View Item
    •   Home
    • Events
    • KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology, January 2016
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Knowledge-based analysis of phenotypes

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Presentation
    Authors
    Hoehndorf, Robert cc
    KAUST Department
    Bio-Ontology Research Group (BORG)
    Computational Bioscience Research Center (CBRC)
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2016-01-27
    Permanent link to this record
    http://hdl.handle.net/10754/601407
    
    Metadata
    Show full item record
    Abstract
    Phenotypes are the observable characteristics of an organism, and they are widely recorded in biology and medicine. To facilitate data integration, ontologies that formally describe phenotypes are being developed in several domains. I will describe a formal framework to describe phenotypes. A formalized theory of phenotypes is not only useful for domain analysis, but can also be applied to assist in the diagnosis of rare genetic diseases, and I will show how our results on the ontology of phenotypes is now applied in biomedical research.
    Conference/Event name
    KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology
    Collections
    Bio-Ontology Research Group (BORG); KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology, January 2016; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.