title: Codon preference and primary sequence structure in protein-coding regions.
abstract: The stochastic complexity of a data base of 365 protein-coding regions is analysed. When the primary sequence is modeled as a spatially homogeneous Markov source, the fit to observed codon preference is very poor. The situation improves substantially when a non-homogeneous model is used. Some implications for the estimation of species phylogeny and substitution rates are discussed.
authors.forename: S
authors.initials: S
authors.lastname: Tavaré
authors.forename: B
authors.initials: B
authors.lastname: Song
mesh_terms: D000596:Amino Acids / Q000032:analysis; D001483:Base Sequence; D003062:Codon; D008433:Mathematics; D008957:Models, Genetic; D011506:Proteins / Q000235:genetics*; D012333:RNA, Messenger
chemical_list: D000596:Amino Acids; D003062:Codon; D011506:Proteins; D012333:RNA, Messenger