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HATK: HLA analysis toolkit

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dc.contributor.authorChoi, Wanson-
dc.contributor.authorLuo, Yang-
dc.contributor.authorRaychaudhuri, Soumya-
dc.contributor.authorHan, Buhm-
dc.date.accessioned2023-04-25T07:30:42Z-
dc.date.available2023-04-25T07:30:42Z-
dc.date.created2021-07-26-
dc.date.created2021-07-26-
dc.date.created2021-07-26-
dc.date.created2021-07-26-
dc.date.issued2021-02-
dc.identifier.citationBioinformatics, Vol.37 No.3, pp.416-418-
dc.identifier.issn1367-4803-
dc.identifier.urihttps://hdl.handle.net/10371/191481-
dc.description.abstractFine-mapping human leukocyte antigen (HLA) genes involved in disease susceptibility to individual alleles or amino acid residues has been challenging. Using information regarding HLA alleles obtained from HLA typing, HLA imputation or HLA inference, our software expands the alleles to amino acid sequences using the most recent IMGT/HLA database and prepares a dataset suitable for fine-mapping analysis. Our software also provides useful functionalities, such as various association tests, visualization tools and nomenclature conversion.-
dc.language영어-
dc.publisherOxford University Press-
dc.titleHATK: HLA analysis toolkit-
dc.typeArticle-
dc.identifier.doi10.1093/bioinformatics/btaa684-
dc.citation.journaltitleBioinformatics-
dc.identifier.wosid000667755400018-
dc.identifier.scopusid2-s2.0-85105690954-
dc.citation.endpage418-
dc.citation.number3-
dc.citation.startpage416-
dc.citation.volume37-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorHan, Buhm-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusASSOCIATION-
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  • College of Medicine
  • Department of Medicine
Research Area Bioinformatics, Genomics, Statistical Genetics

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