Enabling any non-expert end-user to extract specific information from quantitative peptide data using an advanced bioinformatics approach, we have used our recently published NN-align method to generate a web-based extension with a reasonably simple, yet adaptable, web-interface and made this server publicly available at http://www.cbs.dtu.dk/services/NNAlign. Using this web server any user can submit quantitative peptide data (optimally based on actual discrete measurements, but even assigned classification, e.g. 0 and 1, can be used) and in return receive a trained method including training details and estimated predictive performance, a visual interpretation of the identified peptide pattern, and the trained model itself. The latter can be resubmitted to the web server at any later time and used to predict the occurrence of the learned motif in one or more concurrently submitted peptide sequences or FASTA format sequences.