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Locating Regions of Differential Variability in DNA and Protein Sequences
Author(s) -
Hua Tang,
Richard C Lewontin
Publication year - 1999
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1093/genetics/153.1.485
Subject(s) - biology , sequence (biology) , genetics , selection (genetic algorithm) , monotonic function , differential (mechanical device) , constraint (computer aided design) , dna sequencing , dna , mathematics , computer science , physics , mathematical analysis , artificial intelligence , thermodynamics , geometry
In the comparison of DNA and protein sequences between species or between paralogues or among individuals within a species or population, there is often some indication that different regions of the sequence are divergent or polymorphic to different degrees, indicating differential constraint or diversifying selection operating in different regions of the sequence. The problem is to test statistically whether the observed regional differences in the density of variant sites represent real differences and then to estimate as accurately as possible the location of the differential regions. A method is given for testing and locating regions of differential variation. The method consists of calculating G(xk) = k/n – xk/N, where xk is the position of the kth variant site along the sequence, n is the total number of variant sites, and N is the total sequence length. The estimated region is the longest stretch of adjacent sequence for which G(xk) is monotonically increasing (a hot spot) or decreasing (a cold spot). Critical values of this length for tests of significance are given, a sequential method is developed for locating multiple differential regions, and the power of the method against various alternatives is explored. The method locates the endpoints of hot spots and cold spots of variation with high accuracy.

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