ALPHLARD: a Bayesian method for analyzing HLA genes from whole genome sequence data

Abstract Background Although human leukocyte antigen (HLA) genotyping based on amplicon, whole exome sequence (WES), and RNA sequence data has been achieved in recent years, accurate genotyping from whole genome sequence (WGS) data remains a challenge due to the low depth. Furthermore, there is no m...

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Bibliografiska uppgifter
Huvudupphovsmän: Shuto Hayashi, Rui Yamaguchi, Shinichi Mizuno, Mitsuhiro Komura, Satoru Miyano, Hidewaki Nakagawa, Seiya Imoto
Materialtyp: Artigo
Språk:Inglês
Publicerad: BMC 2018-11-01
Serie:BMC Genomics
Ämnen:
HLA genotyping
Next generation sequencing
Whole genome sequencing
Whole exome sequencing
Cancer immunogenomics
Bayesian hierarchical model
Länkar:http://link.springer.com/article/10.1186/s12864-018-5169-9
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