• DocumentCode
    599173
  • Title

    Joint clustering and alignment for nucleosome occupancy analysis

  • Author

    Liu, T.L. ; Yu Zhang ; Dennis, J.H.

  • Author_Institution
    James S. Richards High Sch., Tallahassee, FL, USA
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    934
  • Lastpage
    936
  • Abstract
    Several studies show that nucleosome occupancy patterns around transcription starting sites provide evolutionary and regulatory information about genes. However, as transcription starting sites may not accurately reflect physical nucleosome occupancy patterns, clustering of nucleosome occupancy patterns centered at transcription starting sites may give rise to inaccurate and blurred cluster centers, leading to potentially inaccurate conclusions. In this paper, we propose a joint clustering and alignment method and apply it to clustering of nucleosome occupancy patterns around transcription starting sites. The experimental results using the human genome-wide data show that alignment affects the significant majority of genes and leads to more pronounced local nucleosome occupancy patterns.
  • Keywords
    genomics; macromolecules; molecular biophysics; pattern clustering; gene evolutionary information; gene regulatory information; human genome-wide data; joint clustering alignment method; local nucleosome occupancy patterns; nucleosome occupancy pattern clustering; transcription starting sites; Bioinformatics; Clustering algorithms; Genomics; Joints; Standards; Vectors; alignment; clustering; nucleosome occupancy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470269
  • Filename
    6470269