• DocumentCode
    636254
  • Title

    EpiDiff: Entropy-based quantitative identification of differential epigenetic modification regions from epigenomes

  • Author

    Yan Zhang ; Jangzhong Su ; Di Yu ; Qiong Wu ; Haidan Yan

  • Author_Institution
    Coll. of Bioinf. Sci. & Technol., Harbin Med. Univ., Harbin, China
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    655
  • Lastpage
    658
  • Abstract
    Genome-wide epigenetic modification dynamics, including DNA methylation and chromatin modification, are involved in biological processes such as development, aging, and disease. Quantitative identification of differential epigenetic modification regions (DEMRs) from various temporal and spatial epigenomes is a crucial step towards investigating the relationship between epigenotype and phenotype. Here, we describe EpiDiff (http://bioinfo.hrbmu.edu.cn/epidiff/), an integrated software platform that supports quantification of epigenetic difference and identification of DEMRs by Shannon entropy. Two main modules, quantitative differential chromatin modification region (QDCMR) and quantitative differentially methylated region (QDMR) are provided for bioinformatic analysis of chromatin modifications and DNA methylation data, respectively. The third module, quantitative differential expressed gene (QDEG), can be used to identify differentially expressed genes. The platform-free and species-free nature of EpiDiff makes it potentially applicable to a wide variety of epigenomes at an unprecedented scale and resolution. The graphical user interface provides biologists with a practicable and reliable way to analyze and visualize epigenetic difference.
  • Keywords
    DNA; biochemistry; bioinformatics; entropy; genetics; genomics; graphical user interfaces; integrated software; molecular biophysics; proteins; DNA methylation data; EpiDiff; Shannon entropy; bioinformatic analysis; biological processes; chromatin modification; differential epigenetic modification regions; disease; entropy-based quantitative identification; epigenetic difference; epigenetic identification; genome-wide epigenetic modification dynamics; graphical user interface; integrated software platform; quantitative differential chromatin modification region; quantitative differential expressed gene; quantitative differential methylated region; quantitative identification; Bioinformatics; DNA; Data visualization; Educational institutions; Entropy; Gene expression; Genomics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6609585
  • Filename
    6609585