title: A statistical method for detecting regions with different evolutionary dynamics in multialigned sequences.
abstract: We describe a stochastic method for tracing the evolutionary pattern of multialigned sequences. This method allows us to detect gene regions with distinct evolutionary dynamics, e.g., regions that significantly deviate from the expected behavior. Accurate detection of hypervariable or hyperconstrained regions may provide useful information on the structure/function relationship of biosequences. This information can help localize functional constraints. In addition, the selection of distinct evolutionary dynamics may assist in the correct use of biosequences as reliable molecular clocks.
authors.affiliation: Dipartimento di Biochimica e Biologia Molecolare, Università di Bari, Italy.
authors.forename: G
authors.initials: G
authors.lastname: Pesole
authors.forename: M
authors.initials: M
authors.lastname: Attimonelli
authors.forename: G
authors.initials: G
authors.lastname: Preparata
authors.forename: C
authors.initials: C
authors.lastname: Saccone
mesh_terms: D000818:Animals; D001683:Biological Clocks; D005075:Biological Evolution; D001699:Biometry; D003573:Cytochrome b Group / Q000235:genetics; D014644:Genetic Variation; D005914:Globins / Q000235:genetics; D006801:Humans; D008957:Models, Genetic; D016415:Sequence Alignment / Q000379:methods* / Q000706:statistics & numerical data; D013269:Stochastic Processes
chemical_list: D003573:Cytochrome b Group; D005914:Globins