NONLINEAR-REGRESSION MODELS TO ESTIMATE THE SITE OF DNA FRAGMENTS

The least-squares, hyperbolic regression model is frequently used to e stimate the size of unknown DNA fragments. This model avoids problems associated with semilog-plot interpolation, is computationally easy to use and provides an excellent fit to many experimental data sets. How ever, the methods commonly used to solve the hyperbolic regression mod el perform an inappropriate linearization of the original non-linear m odel. rn this note, we describe advantages offered by standard, non-li near regression techniques, and provide computer code for a common sta tistical package to do these analyses.