Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

Genome medicine - 27 Sept 2017

Buchkovich Martin L, Brown Chad C, Robasky Kimberly, Chai Shengjie, Westfall Sharon, Vincent Benjamin G, Weimer Eric T, Powers Jason G

Abstract excerpt

BACKGROUND: The human leukocyte antigen (HLA) system is a genomic region involved in regulating the human immune system by encoding cell membrane major histocompatibility complex (MHC) proteins that are responsible for self-recognition. Understanding the variation in this region provides important insights into autoimmune disorders, disease susceptibility, oncological immunotherapy, regenerative medicine,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alleles
Share to Cell Line

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Histocompatibility Testing

Share to HLA Antigens

Share to Molecular Sequence Data

Share to Reference Values

Share to Sequence Analysis, RNA

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 28954626
DOI: 10.1186/s13073-017-0473-6
PMCID: PMC5618726

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

HLAProfiler utilizes k-mer profiles to improve HLA calling accuracy for rare and common alleles in RNA-seq data.PMID 28954626Read ↗

Capturing Differential Allele-Level Expression and Genotypes of All Classical HLA Loci and Haplotypes by a New Capture RNA-Seq Method.Semantic proximity Read ↗

Unique Molecular Identifier-Based High-Resolution HLA Typing and Transcript Quantitation Using Long-Read SequencingSemantic proximity Read ↗

Benchmark of tools for <i>in silico</i> prediction of MHC class I and class II genotypes from NGS dataSemantic proximity Read ↗

Benchmarking freely available human leukocyte antigen typing algorithms across varying genes, coverages and typing resolutionsSemantic proximity Read ↗

scHLAcount: Allele-specific HLA expression from single-cell gene expression dataSemantic proximity Read ↗

A rigorous benchmarking of alignment-based HLA typing algorithms for RNA-seq dataSemantic proximity Read ↗

A comprehensive workflow for allele-specific immune gene quantification and expression analysis in single-cell RNA-seq dataSemantic proximity Read ↗

Systematic comparative study of computational methods for HLA typing from next-generation sequencing.Semantic proximity Read ↗

Prediction of HLA genotypes from single-cell transcriptome data.Semantic proximity Read ↗

HLA RNAseq reveals high allele-specific variability in mRNA expressionSemantic proximity Read ↗

HLApers: HLA Typing and Quantification of Expression with Personalized Index.Semantic proximity Read ↗

Inference of high resolution HLA types using genome-wide RNA or DNA sequencing reads.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.