title: Salmonella transcriptomics: relating regulons, stimulons and regulatory networks to the process of infection.
abstract: The advent of Salmonella transcriptomics has heralded a new era for gene expression analysis of this formidable intracellular pathogen. Increasing numbers of Salmonella transcriptomic datasets will contribute to the comprehensive definition of regulons, stimulons and regulatory networks. This task has highlighted the need for sophisticated computational techniques to describe regulatory interactions.
authors.affiliation: Molecular Microbiology Group, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK. arthur.thompson@bbsrc.ac.uk
authors.forename: Arthur
authors.initials: A
authors.lastname: Thompson
authors.forename: Gary
authors.initials: G
authors.lastname: Rowley
authors.forename: Mark
authors.initials: M
authors.lastname: Alston
authors.forename: Vittoria
authors.initials: V
authors.lastname: Danino
authors.forename: Jay C D
authors.initials: JC
authors.lastname: Hinton
mesh_terms: D000222:Adaptation, Physiological / Q000235:genetics; D000818:Animals; D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling; D015964:Gene Expression Regulation, Bacterial; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D012329:RNA, Bacterial / Q000032:analysis; D012333:RNA, Messenger / Q000032:analysis; D018085:Regulon; D012475:Salmonella / Q000235:genetics*; D012480:Salmonella Infections / Q000382:microbiology*; D012481:Salmonella Infections, Animal / Q000382:microbiology; D014158:Transcription, Genetic
chemical_list: D012329:RNA, Bacterial; D012333:RNA, Messenger