TIGERi: modeling and visualizing the responses to perturbation of a transcription factor network.

Journal: BMC bioinformatics
PMID:

Abstract

BACKGROUND: Transcription factor (TF) networks play a key role in controlling the transfer of genetic information from gene to mRNA. Much progress has been made on understanding and reverse-engineering TF network topologies using a range of experimental and theoretical methodologies. Less work has focused on using these models to examine how TF networks respond to changes in the cellular environment.

Authors

  • Namshik Han
    Gurdon Institute, University of Cambridge, Cambridge, UK. namshik.han@gurdon.cam.ac.uk.
  • Harry A Noyes
    School of Biological Sciences, University of Liverpool, Liverpool, UK.
  • Andy Brass
    School of Computer Science and School of Health Sciences, University of Manchester, Manchester, UK. andy.brass@manchester.ac.uk.