Kourami: Graph-guided assembly for novel human leukocyte antigen allele discovery

Heewook Lee, Carl Kingsford

Research output: Contribution to journalArticlepeer-review

51 Scopus citations


Accurate typing of human leukocyte antigen (HLA) is important because HLA genes play important roles in immune responses and disease genesis. Previously available computational methods are database-matching approaches and their outputs are inherently limited by the completeness of already known types, making them unsuitable for discovery of novel alleles. We have developed a graph-guided assembly technique for classical HLA genes, which can construct allele sequences given high-coverage whole-genome sequencing data. Our method delivers highly accurate HLA typing, comparable to the current state-of-the-art methods. Using various data, we also demonstrate that our method can type novel alleles.

Original languageEnglish (US)
Article number16
JournalGenome biology
Issue number1
StatePublished - Feb 7 2018
Externally publishedYes

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology


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