• DocumentCode
    2470075
  • Title

    A position-slots model for nucleosome assembly in the yeast genome based on integrated multi-platform positioning dataseis

  • Author

    Jihua Feng ; Dai, Xianhua ; Xiang, Qian ; Dai, Zhiming ; Wang, Jiang ; Deng, Yangyang ; He, Caisheng

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou, China
  • fYear
    2009
  • fDate
    16-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In-depth analysis of the recent five experimental nucleosome datasets reveals the broad disagreements between the final nucleosome positions detected by the previous studies. Using signal processing methods, we found two distinct nucleosome distribution domains which evidently emerge from promoter and coding regions. We calculated and confirmed that the fuzzy nucleosomes fall into the dynamic domain, and well-positioned nucleosomes fall into the stable one. By combining the domains information with gene properties, transcription factors binding sites (TFBs) and DNA bendability, we revealed the relationship between the two domains with TATA and TATA_less genes. Then, investigating the link between the two domains and the histone H3 modifications, we observed that the extremely rapid-replacing histone H3 occurs at the immediate downstream of transcription start sites (TSS) rather than +1 nucleosome position. Finally, we presented a slots model for nucleosome assembly in the yeast genome to explain the mechanism of nucleosome forming in the genes promoter regions.
  • Keywords
    DNA; biology computing; genetics; DNA bendability; distinct nucleosome distribution; experimental nucleosome datasets; fuzzy nucleosomes; gene properties; integrated multiplatform positioning datasets; nucleosome assembly; position slots model; transcription factors binding sites; transcription start sites; yeast genome; Assembly; Bioinformatics; Capacitive sensors; Fungi; Genetics; Genomics; Helium; Hidden Markov models; Signal processing; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3866-2
  • Electronic_ISBN
    978-1-4244-3867-9
  • Type

    conf

  • DOI
    10.1109/BICTA.2009.5338121
  • Filename
    5338121