scHLAcount: allele-specific HLA expression from single-cell gene expression data
Author(s) -
Charlotte A. Darby,
Michael J. T. Stubbington,
Patrick Marks,
Álvaro Martínez Barrio,
Ian T. Fiddes
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa264
Subject(s) - human leukocyte antigen , allele , gene , biology , computational biology , rna , genotype , gene expression , genetics , rna seq , transcriptome , antigen
Bulk RNA sequencing studies have demonstrated that human leukocyte antigen (HLA) genes may be expressed in a cell type-specific and allele-specific fashion. Single-cell gene expression assays have the potential to further resolve these expression patterns, but currently available methods do not perform allele-specific quantification at the molecule level. Here, we present scHLAcount, a post-processing workflow for single-cell RNA-seq data that computes allele-specific molecule counts of the HLA genes based on a personalized reference constructed from the sample's HLA genotypes.
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