• DocumentCode
    2570908
  • Title

    Whole genome identification of target genes of transcription factors

  • Author

    Hu, Haiyan ; Li, Xiaoman

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    27
  • Lastpage
    30
  • Abstract
    It is important to develop computational methods to predict target genes of a transcription factor. In this paper, we developed a phylogenetic footprinting method to effectively identify target genes on the whole genome scale. Appling the method to 31 transcription factors, we improved the quality of the initial motifs, and predicted additional target genes that are supported by gene ontology analysis. We also showed that the predicted target genes of different transcription factors could provide evidences of cooperation to form transcription modules. Our method provides useful tools for systematic study of gene regulatory networks.
  • Keywords
    bioinformatics; genetics; genomics; ontologies (artificial intelligence); proteins; proteomics; gene ontology analysis; gene regulatory networks; phylogenetic footprinting method; target genes; transcription factors; whole genome identification; Bioinformatics; Computer science; DNA; Genomics; Humans; Matched filters; Ontologies; Phylogeny; Pulse width modulation; Sequences; phylogenetic footprinting; position weight matrix; transcription factor binding sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6775-4
  • Type

    conf

  • DOI
    10.1109/ICBBT.2010.5479016
  • Filename
    5479016