title: The probabilities of similarities in DNA sequence comparisons.
abstract: We discuss the statistical significance of local similarities found between DNA sequences, and illustrate the procedure with reference to the Queen and Korn algorithm. If the longest similarity found for two sequences has length L, this length is said to be significant at the 5% level if there is a probability of no more than 0.05 of finding a length of L or greater between a pair of sequences consisting of randomly chosen bases with the same overall base frequencies. The distribution of longest lengths is related to that of lengths from any particular pair of starting positions on the two sequences. For our implementation of the Queen and Korn algorithm, this latter distribution is constructed by combining the five different blocks of bases that may be added to extend a similarity. A table is given to assess the significance of longest similarities in sequences of length up to 1000 bases. Quite long similarities are expected to occur by chance alone. The critical values we calculate for assessing significance are preferable to expected numbers of similarities used by some commercial computer packages.
authors.affiliation: Department of Statistics, North Carolina State University, Raleigh 27695-8203.
authors.forename: L D
authors.initials: LD
authors.lastname: Brooks
authors.forename: B S
authors.initials: BS
authors.lastname: Weir
authors.forename: H E
authors.initials: HE
authors.lastname: Schaffer
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D004247:DNA / Q000235:genetics*; D008957:Models, Genetic; D015233:Models, Statistical; D011336:Probability; D012689:Sequence Homology, Nucleic Acid
chemical_list: D004247:DNA