Evidence map›Paper›PMID 33971817›Full record

ArticleBMC bioinformatics2021

DR2S: an integrated algorithm providing reference-grade haplotype sequences from heterozygous samples.

Steffen Klasberg, Alexander H Schmidt, Vinzenz Lange, Gerhard Schöfl

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Advances inFrontiers in immunology · 2026
    Article
  2. Article
  3. Article
  4. Submitting Novel Full-Length HLA, MIC, and KIR Alleles with TypeLoader2.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. High population frequencies ofFrontiers in immunology · 2023
    Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Steffen KlasbergDKMS Life Science Lab, Dresden, Germany. klasberg@dkms-lab.de.ORCID http://orcid.org/0000-0002-1190-4000
Alexander H SchmidtDKMS Life Science Lab, Dresden, Germany.
Vinzenz LangeDKMS Life Science Lab, Dresden, Germany.
Gerhard SchöflDKMS Life Science Lab, Dresden, Germany.
Deutsche Knochenmarkspenderdatei · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh resolution HLA genotyping of donors and recipients is a crucially important prerequisite for haematopoetic stem-cell transplantation and relies heavily on the quality and completeness of immunogenetic reference sequence databases of allelic variation.

resultsHere, we report on DR2S, an R package that leverages the strengths of two sequencing technologies-the accuracy of next-generation sequencing with the read length of third-generation sequencing technologies like PacBio's SMRT sequencing or ONT's nanopore sequencing-to reconstruct fully-phased high-quality full-length haplotype sequences. Although optimised for HLA and KIR genes, DR2S is applicable to all loci with known reference sequences provided that full-length sequencing data is available for analysis. In addition, DR2S integrates supporting tools for easy visualisation and quality control of the reconstructed haplotype to ensure suitability for submission to public allele databases.

conclusionsDR2S is a largely automated workflow designed to create high-quality fully-phased reference allele sequences for highly polymorphic gene regions such as HLA or KIR. It has been used by biologists to successfully characterise and submit more than 500 HLA alleles and more than 500 KIR alleles to the IPD-IMGT/HLA and IPD-KIR databases.

Indexed as

Databases, Nucleic AcidHigh-Throughput Nucleotide SequencingAlgorithmsAllelesGenotypeHaplotypesHLA AntigensHLA AntigensHLAKIRPhasingReference sequencingSequence analysisThird-generation sequencing

Identifiers

PMID33971817
PMCPMC8111713
OpenAlexW3161323474

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.