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

HLA-VBSeq: accurate HLA typing at full resolution from whole-genome sequencing data.

BMC genomics - 1 Jan 2015

Nariai Naoki, Kojima Kaname, Saito Sakae, Mimori Takahiro, Sato Yukuto, Kawai Yosuke, Yamaguchi-Kabata Yumi, Yasuda Jun, Nagasaki Masao

Abstract excerpt

BACKGROUND: Human leucocyte antigen (HLA) genes play an important role in determining the outcome of organ transplantation and are linked to many human diseases. Because of the diversity and polymorphisms of HLA loci, HLA typing at high resolution is challenging even with whole-genome sequencing data. RESULTS: We have developed a computational tool, HLA-VBSeq, to estimate the most probable HLA alleles at full...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Bayes Theorem

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

Share to Computational Biology

Share to Genome, Human

Share to Histocompatibility Testing

Share to HLA Antigens

Share to Internet

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 25708870
DOI: 10.1186/1471-2164-16-S2-S7
PMCID: PMC4331721

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

HLA-VBSeq: accurate HLA typing at full resolution from whole-genome sequencing data.PMID 25708870Read ↗

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

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

SpecHLA enables full-resolution HLA typing from sequencing data.Semantic proximity Read ↗

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

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

Typing and copy number determination for HLA-DRB3, -DRB4 and -DRB5 from next-generation sequencing data.Semantic proximity Read ↗

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

Comprehensive HLA Typing from a Current Allele Database Using Next-Generation Sequencing Data.Semantic proximity Read ↗

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

arcasHLA: high resolution HLA typing from RNA seqSemantic proximity Read ↗

Next-Generation Sequencing of the HLA locus: Methods and impacts on HLA typing, population genetics and disease association studies.Semantic proximity Read ↗

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

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