title: Mining genome databases to identify and understand new gene regulatory systems.
abstract: The availability of a large number of sequenced microbial genomes allows us to conduct systematic studies on microbial gene regulatory systems. Computational methods, using comparative genomics approaches, are powerful tools to understand their mechanisms and evolutionary history. Recent advances in computational methodology for uncovering transcriptional regulatory components and their interactions are discussed.
authors.affiliation: Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110-8232, USA. stormo@ural.wustl.edu
authors.forename: Gary D
authors.initials: GD
authors.lastname: Stormo
authors.forename: Kai
authors.initials: K
authors.lastname: Tan
mesh_terms: D019295:Computational Biology; D019992:Databases as Topic; D005809:Genes, Regulator; D016680:Genome, Bacterial; D014158:Transcription, Genetic