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| ファイル | 記述 | サイズ | フォーマット | |
|---|---|---|---|---|
| s41439-019-0061-y.pdf | 322.93 kB | Adobe PDF | 見る/開く |
| タイトル: | HLA-VBSeq v2: improved HLA calling accuracy with full-length Japanese class-I panel |
| 著者: | Wang, Yen-Yen Mimori, Takahiro Khor, Seik-Soon Gervais, Olivier Kawai, Yosuke Hitomi, Yuki Tokunaga, Katsushi Nagasaki, Masao   https://orcid.org/0000-0002-4292-8785 (unconfirmed) |
| 著者名の別形: | 長﨑, 正朗 |
| 発行日: | 19-Jun-2019 |
| 出版者: | Springer Nature |
| 誌名: | Human genome variation |
| 巻: | 6 |
| 論文番号: | 29 |
| 抄録: | HLA-VBSeq is an HLA calling tool developed to infer the most likely HLA types from high-throughput sequencing data. However, there is still room for improvement in specific genetic groups because of the diversity of HLA alleles in human populations. Here, we present HLA-VBSeq v2, a software application that makes use of a new Japanese HLA reference panel to enhance calling accuracy for Japanese HLA class-I genes. Our analysis showed significant improvements in calling accuracy in all HLA regions, with prediction accuracies achieving over 99.0, 97.8, and 99.8% in HLA-A, B and C, respectively. |
| 著作権等: | © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| URI: | http://hdl.handle.net/2433/259357 |
| DOI(出版社版): | 10.1038/s41439-019-0061-y |
| PubMed ID: | 31240105 |
| 出現コレクション: | 学術雑誌掲載論文等 |
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