Study
Prediction of HLA genotypes using NGS data
Study ID | Alternative Stable ID | Type |
---|---|---|
EGAS00001005274 | Other |
Study Description
High-precision human leukocyte antigen (HLA) genotyping is crucial for anti-cancer immunotherapy, but existing tools predicting HLA genotypes using next-generation sequencing (NGS) data are insufficiently accurate.
Study Datasets 1 dataset.
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Dataset ID | Description | Technology | Samples |
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EGAD00001007733 |
High-precision human leukocyte antigen (HLA) genotyping is crucial for anti-cancer immunotherapy, but existing tools predicting HLA genotypes using next-generation sequencing (NGS) data are insufficiently accurate. We compared the availability and accuracy of eight HLA genotyping tools (OptiType, HLA-HD, PHLAT, seq2HLA, arcasHLA, HLAscan, HLA*LA, and Kourami) using 1,275 cases from the 1000 Genomes Project data and created a new HLA-genotyping algorithm combining tools. Then, we assessed the ... (Show More)
|
Illumina HiSeq 2500 | 39 |
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