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Models of local behavior of DNA electrophoresis peak parameters
Author(s) -
Davies Stephen,
Eizenman Moshe,
Pasupathy Subbarayan,
Muller Werner,
Slater Gary
Publication year - 1999
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/(sici)1522-2683(19990601)20:7<1443::aid-elps1443>3.0.co;2-z
Subject(s) - amplitude , position (finance) , covariance , jitter , base (topology) , exponential function , algorithm , exponential decay , function (biology) , covariance function , mathematics , physics , statistics , computer science , optics , mathematical analysis , telecommunications , finance , evolutionary biology , economics , biology , nuclear physics
Many base calling algorithms implicitly or explicitly rely on predictions of local sequence parameters such as amplitude, peak time and peak width. For example, an algorithm may search for the next peak about a predicted peak time formed by adding the mean peak separation to the last position measurement. In this paper, covariance models are presented which characterize the dependence of peak parameters on those of other peaks. Based on experimental measurements, the model features an exponential decay in peak time jitter covariance with respect to base separation. Both peak amplitude and peak width are modelled as being uncorrelated with those of adjacent bases. In the model, linear expressions are given to describe the growth in peak time jitter and peak width as a function of base position while other parameters, such as amplitude variance, are modeled by constants. Together, these results form a simple model which may be used in the derivation of new sequencing algorithms or in simulations for the testing of such algorithms. We suggest that the correlation of the peak times is related to the Kuhn length of the single‐stranded DNA fragments.