Project

Gene expression

Duration
01 March 2007 → 15 September 2009
Funding
Federal funding: various
Promotor
Research disciplines
  • Natural sciences
    • Scientific computing
    • Bioinformatics and computational biology
  • Medical and health sciences
    • Bioinformatics and computational biology
    • Bioinformatics and computational biology
    • Public health care
    • Public health services
    • Bioinformatics and computational biology
  • Engineering and technology
    • Scientific computing
 
Project description

Understanding gene expression at a systems level is crucial for gaining correct insights in development and disease of complex organisms. Transcription regulatory networks describe gene expression as a function of inputs specified by physical and funcitonal interactions between transcription factors, miRNAs, cofactors and DNA. We investigate reverse-engineering algorithms to more correctly infer transcription regulatory networks from different genome-wide datasets.