Title |
HLAreporter: a tool for HLA typing from next generation sequencing data
|
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Published in |
Genome Medicine, March 2015
|
DOI | 10.1186/s13073-015-0145-3 |
Pubmed ID | |
Authors |
Yazhi Huang, Jing Yang, Dingge Ying, Yan Zhang, Vorasuk Shotelersuk, Nattiya Hirankarn, Pak Chung Sham, Yu Lung Lau, Wanling Yang |
Abstract |
Human leukocyte antigen (HLA) typing from next generation sequencing (NGS) data has the potential for widespread applications. Here we introduce a novel tool (HLAreporter) for HLA typing from NGS data based on read-mapping using a comprehensive reference panel containing all known HLA alleles, followed by de novo assembly of the gene-specific short reads. 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. HLAreporter can be downloaded from http://paed.hku.hk/genome/. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 15% |
United Kingdom | 2 | 15% |
Hong Kong | 1 | 8% |
United States | 1 | 8% |
Germany | 1 | 8% |
Mexico | 1 | 8% |
Unknown | 5 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 62% |
Members of the public | 4 | 31% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | <1% |
South Africa | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 119 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 36 | 30% |
Student > Ph. D. Student | 18 | 15% |
Student > Master | 13 | 11% |
Student > Bachelor | 10 | 8% |
Other | 9 | 7% |
Other | 15 | 12% |
Unknown | 21 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 33 | 27% |
Agricultural and Biological Sciences | 27 | 22% |
Immunology and Microbiology | 10 | 8% |
Medicine and Dentistry | 9 | 7% |
Computer Science | 4 | 3% |
Other | 12 | 10% |
Unknown | 27 | 22% |