• DocumentCode
    3073681
  • Title

    ArrayQ: Querying Microarray Expressions for Relevant Pathways

  • Author

    Hossain, Shahriyar ; Southwood, Cherie M. ; Jamil, Hasan ; Gow, Alexander

  • Author_Institution
    Wayne State Univ., Detroit, MI, USA
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    290
  • Lastpage
    294
  • Abstract
    One of the principal features of DNA microarrays is the volume of quantitative data that they generate. As a result, the major challenges in the field are how to handle, interpret and make use of these data. Currently, there are a large number of tools available which perform statistical analysis for constructing a significant gene set from the microarray data. There are others who given a set of genes, figure out the pathways, protein-protein interaction and other biological process that are represented by these genes. In this paper, we describe a comprehensive Web-based tool for analyzing DNA microarray data. Our goal is to bring the database and statistical aspect of constructing a significant gene set into a single platform. We also propose a novel method for representing the global picture of interaction between pathways.
  • Keywords
    Internet; bioinformatics; database management systems; genetics; lab-on-a-chip; molecular biophysics; proteins; statistical analysis; ArrayQ; DNA microarray expression; Web-based tool; biological process; database; gene pathway interaction; protein-protein interaction; statistical analysis; Bioinformatics; Biological processes; Biology computing; DNA; Diseases; Gene expression; Image databases; Proteins; RNA; Sequences; differential expression; gene expression; pathways;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and BioEngineering, 2009. BIBE '09. Ninth IEEE International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-0-7695-3656-9
  • Type

    conf

  • DOI
    10.1109/BIBE.2009.73
  • Filename
    5211264