• DocumentCode
    2917366
  • Title

    Identifying synergistic transcriptional factors involved in the yeast cell cycle using Microarray and ChIP-chip data

  • Author

    He, Dong ; Zhou, Dao ; Zhou, Yanhong

  • Author_Institution
    Hubei Bioinformatics & Molecular Imaging Key Lab., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2006
  • fDate
    Oct. 2006
  • Firstpage
    357
  • Lastpage
    360
  • Abstract
    Knowing the synergistic activities of multiple transcription factors (TFs) is important for revealing the underlying mechanisms of transcription regulation in eukaryotic organisms. Based on the microarray data and ChIP-chip data, we identified the synergistic TF pairs and triplets involved in the yeast cell cycle. The results indicate that: (1) about one third of the predicted synergistic TF pairs, including five novel pairs undiscovered by previous computational methods, are supported by literature evidences; (2) the cell cycle transcription regulation synergistic TF triplet, FKH2-MCM1-NDD1, has been successfully predicted
  • Keywords
    biology computing; cellular biophysics; molecular biophysics; ChIP-chip data; FKH2-MCM1-NDD1; eukaryotic organisms; microarray; multiple transcription factors; synergistic transcriptional factors; transcription regulation; yeast cell cycle; Analysis of variance; Bioinformatics; Data analysis; Educational programs; Fungi; Gene expression; Genomics; Organisms; Statistical analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grid and Cooperative Computing Workshops, 2006. GCCW '06. Fifth International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    0-7695-2695-0
  • Type

    conf

  • DOI
    10.1109/GCCW.2006.54
  • Filename
    4031574