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

Comparison of exome-based HLA class I genotyping tools: identification of platform-specific genotyping errors.

Journal of human genetics - 1 Mar 2017

Kiyotani Kazuma, Mai Tu H, Nakamura Yusuke

Abstract excerpt

Accurate human leukocyte antigen (HLA) genotyping is critical in studies involving the immune system. Several algorithms to estimate HLA genotypes from whole-exome data were developed. We compared the accuracy of seven algorithms, including Optitype, Polysolver and PHLAT, as well as investigated patterns and possible causes of miscalls using 12 clinical samples and 961 individuals from the 1000 Genomes Project....

Read the complete abstract on PubMed

Topics

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

Share to Artifacts
Share to Exome
Share to Genotyping Techniques

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Histocompatibility Antigens Class I

Share to Histocompatibility Testing

Share to Mesothelioma

Share to Reproducibility of Results

Share to Sensitivity and Specificity

Source

Open in PubMed Open full text

Identifiers

PMID: 27881843
DOI: 10.1038/jhg.2016.141
PMCID: PMC5334549

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparison of exome-based HLA class I genotyping tools: identification of platform-specific genotyping errors.PMID 27881843Read ↗

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

Concordance between predicted HLA type using next generation sequencing data generated for non-HLA purposes and clinical HLA type.Semantic proximity Read ↗

Benchmarking HLA genotyping from whole genome sequencing across multiple sequencing technologiesSemantic proximity Read ↗

High-throughput, high-fidelity HLA genotyping with deep sequencing.Semantic proximity Read ↗

HLA typing from 1000 genomes whole genome and whole exome illumina data.Semantic proximity Read ↗

ATHLATES: accurate typing of human leukocyte antigen through exome sequencing.Semantic proximity Read ↗

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

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

Towards allele-level human leucocyte antigens genotyping - assessing two next-generation sequencing platforms: Ion Torrent Personal Genome Machine and Illumina MiSeq.Semantic proximity Read ↗

Evaluation of computational programs to predict HLA genotypes from genomic sequencing data.Semantic proximity Read ↗

Evaluation of the AllType kit for HLA typing using the Ion Torrent S5 XL platformSemantic proximity Read ↗

HLA allele-calling using whole-exome sequencing identifies 129 novel associations in 11 autoimmune diseases: a multi-ancestry analysis in the UK BiobankSemantic proximity Read ↗

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