title: Unbiased estimation of evolutionary distance between nucleotide sequences.
abstract: A new algorithm for estimating the number of nucleotide substitutions per site (i.e., the evolutionary distance) between two nucleotide sequences is presented. This algorithm can be applied to many estimation methods, such as Jukes and Cantor's method, Kimura's transition/transversion method, and Tajima and Nei's method. Unlike ordinary methods, this algorithm is always applicable. Numerical computations and computer simulations indicate that this algorithm gives an almost unbiased estimate of the evolutionary distance, unless the evolutionary distance is very large. This algorithm should be useful especially when we analyze short nucleotide sequences. It can also be applied to amino acid sequences, for estimating the number of amino acid replacements.
authors.affiliation: Department of Population Genetics, National Institute of Genetics, Mishima, Japan.
authors.forename: F
authors.initials: F
authors.lastname: Tajima
mesh_terms: D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D005075:Biological Evolution; D002096:C-Peptide / Q000235:genetics; D003198:Computer Simulation; D006801:Humans; D007328:Insulin / Q000235:genetics; D008433:Mathematics; D008957:Models, Genetic; D051381:Rats
chemical_list: D002096:C-Peptide; D007328:Insulin