• Login
    View Item 
    •   T-Stór
    • Animal & Grassland Research & Innovation Programme
    • Animal & Bioscience
    • View Item
    •   T-Stór
    • Animal & Grassland Research & Innovation Programme
    • Animal & Bioscience
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of T-StórCommunitiesPublication DateAuthorsTitlesSubjectsFunderThis CollectionPublication DateAuthorsTitlesSubjectsFunderProfilesView

    My Account

    LoginRegister

    Information

    Deposit AgreementLicense

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Web-based Tools for the Analysis of DNA Microarrays

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    eopr-5686.pdf
    Size:
    354.0Kb
    Format:
    PDF
    Download
    Author
    Geeleher, P.
    Golden, A.
    Hinde, J.
    Morris, Dermot G.
    Keyword
    Web-based Tools
    DNA microarray analysis
    Bioconductor software
    R programming language
    Date
    2008-01-01
    
    Metadata
    Show full item record
    Statistics
    Display Item Statistics
    URI
    http://hdl.handle.net/11019/823
    Citation
    Geeleher, P., Golden, A., Hinde, J., Morris, D.G., Web-based Tools for the Analysis of DNA Microarrays, Teagasc, 2008.
    Abstract
    DNA microarrays are widely used for gene expression profiling. Raw data resulting from microarray experiments, however, tends to be very noisy and there are many sources of technical variation and bias. This raw data needs to be quality assessed and interactively preprocessed to minimise variation before statistical analysis in order to achieve meaningful result. Therefore microarray analysis requires a combination of visualisation and statistical tools, which vary depending on what microarray platform or experimental design is used.Bioconductor is an existing open source software project that attempts to facilitate analysis of genomic data. It is a collection of packages for the statistical programming language R. Bioconductor is particularly useful in analyzing microarray experiments. The problem is that the R programming language’s command line interface is intimidating to many users who do not have a strong background in computing. This often leads to a situation where biologists will resort to using commercial software which often uses antiquated and much less effective statistical techniques, as well as being expensively priced. This project aims to bridge this gap by providing a user friendly web-based interface to the cutting edge statistical techniques of Bioconductor.
    Collections
    AGRIP End of Project Reports
    Animal & Bioscience

    entitlement

     
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated 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.

    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.