title: High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae.
abstract: We present an approach for identifying condition-specific regulatory modules by using separate units of gene expression profiles along with ChIP-chip and motif data from Saccharomyces cerevisiae. By investigating the unique and common features of the obtained condition-specific modules, we detected several important properties of transcriptional network reorganization. Our approach reveals the functionally distinct coregulated submodules embedded in a coexpressed gene module and provides an effective method for identifying various condition-specific regulatory events at high resolution.
authors.affiliation: School of Biological Sciences and Research Center for Functional Cellulomics, Institute of Microbiology, Seoul National University, Seoul 151-747, Republic of Korea.
authors.forename: Hun-Goo
authors.initials: HG
authors.lastname: Lee
authors.forename: Hyo-Soo
authors.initials: HS
authors.lastname: Lee
authors.forename: Sang-Hoon
authors.initials: SH
authors.lastname: Jeon
authors.forename: Tae-Hoon
authors.initials: TH
authors.lastname: Chung
authors.forename: Young-Sung
authors.initials: YS
authors.lastname: Lim
authors.forename: Won-Ki
authors.initials: WK
authors.lastname: Huh
mesh_terms: D020869:Gene Expression Profiling; D015966:Gene Expression Regulation, Fungal; D053263:Gene Regulatory Networks / Q000235:genetics*; D012441:Saccharomyces cerevisiae / Q000235:genetics*