HLA Typing

HLA Genes: A Hallmark of Functional Genetic Variation and Complex Evolution.- Allele Frequency Net Database.-&nbsp;AmpliSAS and AmpliHLA: Web Server and Local Tools for MHC Typing of Non-Model Species and Human Using NGS Data.-&nbsp;Comprehensive HLA Typing from a Current Allele Database Using Next-Generation Sequencing Data.- Deep Learning-Based HLA Allele Imputation Applicable to GWAS.- Benchmarking NGS-Based HLA Typing Algorithms.- HLA Typing and Mutation Calling from Normal and Tumor Whole Genome Sequencing Data with ALPHLARD-NT.- NanoHLA: A Method for Human Leukocyte Antigen Class I Genes Typing Without Error Correction Based on Nanopore Sequencing Data.- Imputation-Based HLA Typing with GWAS SNPs.- Full-Length Characterization of Novel HLA-DRB1 Alleles for Reference Database Submission.- Submitting Novel Full-Length HLA, MIC, and KIR Alleles with TypeLoader2.- PIRCHE II Risk and Acceptable Mismatch Profile Analysis in Solid Organ Transplantation.- Graph-Based Imputation Methods and Their Applications to Single Donors and Families.- How to Predict Binding Specificity and Ligands for New MHC-II Alleles with MixMHC2pred.- DeepHLApan: A Deep Learning Approach for the Prediction of Peptide-HLA Binding and Immunogenicity.- In Silico Predicting Intrinsic Features of HLA Class-I Restricted Neoantigens.- Designing High Binding Affinity Peptides for MHC Class I Using MAM: An In Silico Approach.- MHCtools 1.5: Analysis of MHC Sequencing Data in R.<br>