Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae

Background: Reverse-engineering regulatory networks is one of the central challenges for computational biology. Many techniques have been developed to accomplish this by utilizing transcription factor binding data in conjunction with expression data. Of these approaches, several have focused on the reconstruction of the cell cycle regulatory network of Saccharomyces cerevisiae. The emphasis of these studies has been to model the relationships between transcription factors and their target genes. In contrast, here we focus on reverse-engineering the network of relationships among transcription factors that regulate the cell cycle in S. cerevisiae. Results: We have developed a technique to reverse-engineer networks of the time-dependent activities of transcription factors that regulate the cell cycle in S. cerevisiae. The model utilizes linear regression to first estimate the activities of transcription factors from expression time series and genome-wide transcription factor binding dat...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Shawn Cokus, Sherri Rose, David Haynor, Niels Grønbech-Jensen, Matteo Pellegrini
• Keywords: BMCBI 2006, Cell Cycle, Model, Transcription Factor