The HLA region is the most polymorphic part of the human genome and a major driver of risk for autoimmune and infectious disease, but its alignment data is notoriously awkward to work with. hlabud bridges that gap for R users: it downloads the reference data and hands you analysis-ready matrices, so you can go from raw HLA alleles to a fitted model in a few lines.
hlabud provides methods to retrieve sequence alignment data from IMGTHLA and convert the data into convenient R matrices ready for downstream analysis. See the usage examples to learn how to use the data with logistic regression and dimensionality reduction. We also share tips on how to visualize the 3D molecular structure of HLA proteins and highlight specific amino acid residues.
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