• DocumentCode
    2045703
  • Title

    Identification method of transcription factor binding sites based on DNase-Seq signal

  • Author

    Peichao Sang ; Duojiao Chen ; Siwen Xu ; Weixing Feng

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    1665
  • Lastpage
    1669
  • Abstract
    Revealing the mechanism of gene regulation is one of central challenge in modern genomics research. Since transcription factors play vital roles in process of gene regulation, identification of their binding sites is quite important. In order to detect transcription factor binding sites more accurately and efficiently, DNase-Seq technology arises. In the study, we proposed a method to identify transcription factor binding sites based on DNase-Seq signals. Firstly, DNase-Seq data was extracted and processed to enhance the binding sites. Then, a statistical model was designed to depict pattern of particular transcription factor binding sites with sequence information and DNase-seq signals. With the model, the specific transcription factor binding sites can be predicted. In the experiment about C-jun transcription factor, the good prediction performance of its binding sites proves the validity of the proposed method.
  • Keywords
    DNA; bioinformatics; bonds (chemical); data analysis; enzymes; genetics; genomics; molecular biophysics; molecular configurations; sequences; statistical analysis; C-jun transcription factor; DNase-Seq data extraction; DNase-Seq data processing; DNase-Seq signal; DNase-Seq technology; binding site enhancement; gene regulation mechanism; modern genomics research; sequence information; statistical model; transcription factor binding site identification; transcription factor binding site pattern; transcription factor binding site prediction; Bioinformatics; DNA; Data mining; Feature extraction; Genomics; Sequential analysis; Training; Binding Site; DNase-Seq; Transcription Factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237735
  • Filename
    7237735