Orthanq: transparent and uncertainty-aware haplotype quantification with application in HLA-typing

Orthanq: transparent and uncertainty-aware haplotype quantification with application in HLA-typing

Abstract Background Identification of human leukocyte antigen (HLA) types from DNA-sequenced human samples is important in organ transplantation and cancer immunotherapy and remains a challenging task considering sequence homology and extreme polymorphism of HLA genes. Results We present Orthanq, a...

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Bibliographic Details
Main Authors: Hamdiye Uzuner, Annette Paschen, Dirk Schadendorf, Johannes Köster
Format: Article
Language:English
Published: BMC 2024-07-01
Series:BMC Bioinformatics
Subjects:
Haplotype quantification
HLA typing
Bayesian latent variable model
Genomic variants
Uncertainty quantification
Online Access:https://doi.org/10.1186/s12859-024-05832-4

Internet

https://doi.org/10.1186/s12859-024-05832-4

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