An example output from the NNAlign Server is shown in Figure 1 . Information about the training data is accompanied by a plot of the data distribution before and after the data processing needed to train the neural networks. An important feature is the possibility to download and save the trained model, and use it subsequently for predictions on new data. The results page also returns the performance of the method as estimated by crossvalidation, and provides links to a scatter-plot showing the correlation between measured and predicted values, as well as the complete alignment core on the training data. A sequence logo gives a visual representation of the identified sequence motif, which can also be viewed in a log-odds position-specific scoring matrix format. If any evaluation data has been provided at the time of method training, a section of the results will report the predictions of this evaluation set.