@article{a69c40f14220446a81e670c23604f6dc,
title = "Kourami: Graph-guided assembly for novel human leukocyte antigen allele discovery",
abstract = "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.",
author = "Heewook Lee and Carl Kingsford",
note = "Funding Information: We thank S. Kim of Illumina for helping us in the early stage of this research. We would also like to thank D. DeBlasio, C. Ma, G. Mar{\c c}ais, N. Sauerwald, M. Shao, B. Solomon, T. Wall, H. Wang, and H. Xin for valuable discussions and comments on the manuscript.This research was funded in part by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through grant GBMF4554 to CK, by the U.S. National Science Foundation (CCF-1256087 and CCF-1319998) and by the U.S. National Institutes of Health (R01HG007104). This work was partially funded by The Shurl and Kay Curci Foundation Funding Information: This research was funded in part by the Gordon and Betty Moore Foundation{\textquoteright}s Data-Driven Discovery Initiative through grant GBMF4554 to CK, by the U.S. National Science Foundation (CCF-1256087 and CCF-1319998) and by the U.S. National Institutes of Health (R01HG007104). This work was partially funded by The Shurl and Kay Curci Foundation. Publisher Copyright: {\textcopyright} 2018 The Author(s).",
year = "2018",
month = feb,
day = "7",
doi = "10.1186/s13059-018-1388-2",
language = "English (US)",
volume = "19",
journal = "Genome biology",
issn = "1474-7596",
publisher = "BioMed Central",
number = "1",
}