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

Shawn Cokus
Sherri Rose, Division of Biostatistics, University of California, Berkeley
David Haynor
Niels Grønbech-Jensen
Matteo Pellegrini

Abstract

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.