TY - JFULL AU - 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 PY - 2015/4/ TI - Accurate HLA Typing at High-Digit Resolution from NGS Data T2 - International Journal of Bioengineering and Life Sciences SP - 262 EP - 271 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10000791 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 99, 2015 N2 - 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. ER -