@article{(Open Science Index):https://publications.waset.org/pdf/10000791,
	  title     = {Accurate HLA Typing at High-Digit Resolution from NGS Data},
	  author    = {Yazhi Huang and  Jing Yang and  Dingge Ying and  Yan Zhang and  Vorasuk Shotelersuk and  Nattiya Hirankarn and  Pak Chung Sham and  Yu Lung Lau and  Wanling Yang},
	  country	= {},
	  institution	= {},
	  abstract     = {Human leukocyte antigen (HLA) typing from next
generation sequencing (NGS) data has the potential for applications in
clinical laboratories and population genetic studies. Here we introduce
a novel technique for HLA typing from NGS data based on
read-mapping using a comprehensive reference panel containing all
known HLA alleles and de novo assembly of the gene-specific short
reads. An accurate HLA typing at high-digit resolution was achieved
when it was tested on publicly available NGS data, outperforming
other newly-developed tools such as HLAminer and PHLAT.
	    journal   = {International Journal of Bioengineering and Life Sciences},
	  volume    = {9},
	  number    = {3},
	  year      = {2015},
	  pages     = {263 - 271},
	  ee        = {https://publications.waset.org/pdf/10000791},
	  url   	= {https://publications.waset.org/vol/99},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 99, 2015},