Dec 24, 2015

High-accuracy HLA type inference from whole-genome sequencing data

BioRxiv : the Preprint Server for Biology
Alexander DiltheyGil McVean

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.

  • References
  • Citations

References

  • We're still populating references for this paper, please check back later.
  • References
  • Citations

Citations

  • This paper may not have been cited yet.

Mentioned in this Paper

Progesterone
HLA Antigens
Human Leukocyte Antigen Complex
HLA Typing
Mapping, Vessel
Graph Layout
SRGN gene
PRB3 gene
Alleles
Genome Sequencing

About this Paper

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.