title: [Statistical analysis and prediction of bacterial sites for ribosomal binding].
abstract: An algorithm for recognition of prokaryotic ribosomal binding sites is suggested. The parameter library contains weight matrices for mapping of gene starts in various bacterial genomes. Comparison of the ribosome binding starts in different taxonomic groups demonstrates that the signals in Gram-positive bacteria are stronger than in Gram-negative bacteria, and in particular, Enterobacteria. The recognition matrices are available by e-mail misha@imb.imb.ac.ru.
authors.affiliation: Institute of Mathematical Problems in Biology, Russian Academy of Sciences, Pushchino, Moscow Region, Russia.
authors.forename: T A
authors.initials: TA
authors.lastname: Borovina
authors.forename: N N
authors.initials: NN
authors.lastname: Nazipova
authors.forename: R
authors.initials: R
authors.lastname: Overbik
authors.forename: M S
authors.initials: MS
authors.lastname: Gel'fand
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D016680:Genome, Bacterial; D006090:Gram-Negative Bacteria / Q000235:genetics / Q000378:metabolism; D006094:Gram-Positive Bacteria / Q000235:genetics / Q000378:metabolism; D012270:Ribosomes / Q000378:metabolism*