title: Transcriptional networks: reverse-engineering gene regulation on a global scale.
abstract: A major objective in post-genome research is to fully understand the transcriptional control of each gene and the targets of each transcription factor. In yeast, large-scale experimental and computational approaches have been applied to identify co-regulated genes, cis regulatory elements, and transcription factor DNA binding sites in vivo. Methods for modeling and predicting system behavior, and for reconciling discrepancies among data types, are being explored. The results indicate that a complete and comprehensive yeast transcriptional network will ultimately be achieved.
authors.affiliation: Banting and Best Department of Medical Research, University of Toronto, 112 College Street, Room 307, Toronto, Ontario M5G 1L6, Canada.
authors.forename: Gordon
authors.initials: G
authors.lastname: Chua
authors.forename: Mark D
authors.initials: MD
authors.lastname: Robinson
authors.forename: Quaid
authors.initials: Q
authors.lastname: Morris
authors.forename: Timothy R
authors.initials: TR
authors.lastname: Hughes
mesh_terms: D019295:Computational Biology / Q000379:methods; D015966:Gene Expression Regulation, Fungal; D020411:Oligonucleotide Array Sequence Analysis; D012045:Regulatory Sequences, Nucleic Acid; D012441:Saccharomyces cerevisiae / Q000235:genetics / Q000378:metabolism*; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism*; D014157:Transcription Factors / Q000235:genetics / Q000378:metabolism; D014158:Transcription, Genetic
chemical_list: D029701:Saccharomyces cerevisiae Proteins; D014157:Transcription Factors