bioRxivBioinformatics
High-accuracy HLA type inference from whole-genome sequencing data
Alexander DiltheyiD, Pierre-Antoine Gourraud, Zamin IqbaliD, Gil McVeaniD
Abstract
Extensive hyperpolymorphism and sequence similarity between the HLA genes make HLA type inference from whole-genome sequencing data a challenging problem. We address these by representing sequences from over 10,000 known alleles in a reference graph structure, enabling accurate read mapping. HLA*PRG, our algorithm, outperforms existing methods by a wide margin and for the first time consistently achieves the accuracy of gold-standard reference methods with one error across 158 alleles tested.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: variant effect prediction
- approach: deep learning
- approach: statistical model
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