Literature DB >> 26024640

In Silico HLA Typing Using Standard RNA-Seq Sequence Reads.

Sebastian Boegel1, Jelle Scholtalbers, Martin Löwer, Ugur Sahin, John C Castle.   

Abstract

Next-generation sequencing (NGS) enables high-throughput transcriptome profiling using the RNA-Seq assay, resulting in billions of short sequence reads. Worldwide adoption has been rapid: many laboratories worldwide generate transcriptome sequence reads daily. Here, we describe methods for obtaining a sample's human leukocyte antigen (HLA) class I and II types and HLA expression using standard NGS RNA-Seq sequence reads. We demonstrate the application using our algorithm, seq2HLA, and a publicly available RNA-Seq dataset from the Burkitt lymphoma cell line Raji.

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Year:  2015        PMID: 26024640     DOI: 10.1007/978-1-4939-2690-9_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  HLA genotyping by next-generation sequencing of complementary DNA.

Authors:  Hidenobu Segawa; Yoji Kukita; Kikuya Kato
Journal:  BMC Genomics       Date:  2017-11-28       Impact factor: 3.969

2.  HLAProfiler utilizes k-mer profiles to improve HLA calling accuracy for rare and common alleles in RNA-seq data.

Authors:  Martin L Buchkovich; Chad C Brown; Kimberly Robasky; Shengjie Chai; Sharon Westfall; Benjamin G Vincent; Eric T Weimer; Jason G Powers
Journal:  Genome Med       Date:  2017-09-27       Impact factor: 11.117

3.  Performance of a multiplexed amplicon-based next-generation sequencing assay for HLA typing.

Authors:  Chang Liu; Brian F Duffy; Eric T Weimer; Maureen C Montgomery; Jo-Ellen Jennemann; Rachel Hill; Donna Phelan; Lindsay Lay; Bijal A Parikh
Journal:  PLoS One       Date:  2020-04-23       Impact factor: 3.240

  3 in total

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