PCR is a visualization tool developed by Gabor Domokos and Randy Paffenroth at the University of Maryland's Institute for Physical Science and Technology.
The paradigm used in PCR has been found to be very helpful in the presentation, storage, and understanding of computational results in the study of nonlinear boundary-value problems (BVPs) associated with ordinary differential equations (such as the Rod Models of DNA). There are standard codes available for the numerical solution of such problems. However, the problem is that such codes can produce huge data files that are hard to store and even harder to understand. PCR presents tools for both the drastic reduction in stored data and the intelligent visualization of the produced results.