title: The current excitement in bioinformatics-analysis of whole-genome expression data: how does it relate to protein structure and function?
abstract: Whole-genome expression profiles provide a rich new data-trove for bioinformatics. Initial analyses of the profiles have included clustering and cross-referencing to 'external' information on protein structure and function. Expression profile clusters do relate to protein function, but the correlation is not perfect, with the discrepancies partially resulting from the difficulty in consistently defining function. Other attributes of proteins can also be related to expression-in particular, structure and localization-and sometimes show a clearer relationship than function.
authors.affiliation: Department of Molecular Biophysics and Biochemistry, 266 Whitney Avenue, Yale University, PO Box 208114, New Haven, CT 06520, USA. Mark.Gerstein@yale.edu
authors.forename: M
authors.initials: M
authors.lastname: Gerstein
authors.forename: R
authors.initials: R
authors.lastname: Jansen
mesh_terms: D019295:Computational Biology; D016678:Genome; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*
chemical_list: D011506:Proteins