6533b85bfe1ef96bd12bb3a5

RESEARCH PRODUCT

In Silico Typing of Classical and Non-classical HLA Alleles from Standard RNA-Seq Reads

Thomas BukurSebastian BoegelJohn C. CastleUgur Sahin

subject

0301 basic medicineIn silicoNucleic acid sequenceRNA-SeqHuman leukocyte antigenComputational biologyBiologyGene expression profiling03 medical and health sciences030104 developmental biology0302 clinical medicine030220 oncology & carcinogenesisTypingAlleleAllele frequency

description

Next-Generation Sequencing (NGS) enables the rapid generation of billions of short nucleic acid sequence fragments (i.e., "sequencing reads"). Especially, the adoption of gene expression profiling using whole transcriptome sequencing (i.e., "RNA-Seq") has been rapid. Here, we describe an in silico method, seq2HLA, that takes standard RNA-Seq reads as input and determines a sample's (classical and non-classical) HLA class I and class II types as well as HLA expression. We demonstrate the application of seq2HLA using publicly available RNA-Seq data from the Burkitt's lymphoma cell line DAUDI and the choriocarcinoma cell line JEG-3.

https://doi.org/10.1007/978-1-4939-8546-3_12