Sequences logos describing the predicted binding motif for each MHC molecule were calculated as described by Rapin et al. (2010) . In short, the binding affinity for a set of 1,000,000 random natural 9mer peptides was predicted using the NetMHCpan method, and the 1% strongest binding peptides were selected for construction of a position-specific scoring matrix (PSSM). The PSSM was constructed as previously described including pseudo-count correction for low counts. Next, sequence logos were generated from the amino acid frequencies identified in the PSSM construction. For each position, the frequency of all 20 amino acids is displayed as a stack of letters. The total height of the stack represents the sequence conservation (the information content), while the individual height of the symbols relates to the relative frequency of that particular symbol at that position. Letter shown upside-down are underrepresented compared to the background (for details see Rapin et al. (2010) ).