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NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11., , , , , and . Nucleic Acids Research, 36 (Web-Server-Issue): 509-512 (2008)Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach., , , , , , , and . Bioinformatics, 20 (9): 1388-1397 (2004)Immune epitope database analysis resource (IEDB-AR)., , , , , , , , , and 7 other author(s). Nucleic Acids Research, 36 (Web-Server-Issue): 513-518 (2008)Reliable B Cell Epitope Predictions: Impacts of Method Development and Improved Benchmarking., , , and . PLoS Computational Biology, (2012)Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach., , , , , , , , and . Neural Computation, 15 (12): 2931-2942 (2003)A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules., , , , , , , , , and 5 other author(s). PLoS Computational Biology, (2006)Immunological bioinformatics., , , , and . Computational molecular biology AAAI Press, (2005)PopCover: a method for selecting of peptides with optimal population and pathogen coverage., , , , , and . BCB, page 658-659. ACM, (2010)Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction., , , , , and . BMC Bioinformatics, (2007)Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers., , and . Bioinformatics, 24 (11): 1397-1398 (2008)