Article

SweHLA: the high confidence HLA typing bio-resource drawn from 1 000 Swedish genomes

2019-06-04

Abstract excerpt

There is a need to accurately call human leukocyte antigen (HLA) genes from existing short-read sequencing data, however there is no single solution that matches the gold standard of lab typing. Here we aimed to combine results from available software, minimising the biases of applied algorithm and HLA reference. The result is a robust HLA population resource for the published 1 000 Swedish genomes, and a framewor...

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Literature Corpus work: 766ba14d-826c-55d0-8648-8aba065230c4
DOI: 10.1101/660241

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