• DocumentCode
    2538673
  • Title

    Identify the gene positions of methylated DNA with a database approach

  • Author

    Bi, Wenyi ; Dunn, John ; McCorkle, Sean ; Gabriel, Reginald ; Lewis, Walter

  • Author_Institution
    Cheyney Univ. of Pennsylvania, Cheyney
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    1500
  • Lastpage
    1505
  • Abstract
    Determining the global pattern of DNA methylation, or the methylome and its variation in cells has become an area of considerable interest primarily because of its potential use as an early diagnostic biomarker for cancers. Genome survey techniques are now being used to identify heavily methylated regions on a massive scale and there is a need to correlate this data with focused biomedical information in a high-throughput manner. Towards this end, we present a database which combines genomic location of methylation sites, genes, CpG islands with specialized genetic-ontological resources which allow for large scale comprehensive presentations of utility to researchers.
  • Keywords
    DNA; biology computing; cancer; genetics; medical computing; medical information systems; molecular biophysics; ontologies (artificial intelligence); patient diagnosis; cancer biomarker diagnostic; database approach; gene positions; genetic-ontological resources; methylated DNA; Bioinformatics; Cancer; Cells (biology); DNA; Genomics; Laboratories; Medical diagnostic imaging; Neoplasms; Ontologies; Spatial databases; CpG Islands; DNA; Methylation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413572
  • Filename
    4413572