Predictions by genetic algorithms for the categorisation of alpha and beta papillomaviruses according to the predicted repertoire of TFBS in the URR. The predictions of TFBS in the URR were analysed by genetic algorithms, including additional information about the genus they belong, alpha or beta (a). Controls were performed with the same predictions, but including random adscription to one of two categories (b). Expected values are shown as open circles, and predicted values are shown as crosses. The elements for which the genetic algorithms could not formulate predictions are labelled as "NP", non-predictable. (a) Genetic algorithms were able to correctly discern alpha and beta papillomaviruses with regards exclusively to their TFBS patterns. (b) The negative control shows that this result is not dependent on the information contained in the prediction matrix itself, but on the categorisation additionally provided. Thus, the repertoire of TFBS in the URR is different between alpha and beta PVs, although both genera infect histologically similar target cells in the same hosts.