Evidence map›Paper›PMID 39390579›Full record

ArticleGenome biology2024

Graphasing: phasing diploid genome assembly graphs with single-cell strand sequencing.

Mir Henglin, Maryam Ghareghani, William T Harvey, David Porubsky, Sergey Koren, Evan E Eichler, Peter Ebert, Tobias Marschall

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Graph statistics theory of individualized quantitative genetics under haplotype-resolved genome assembly.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Distinct mechanisms of CNV formation at the human 15q13.3 locus.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Bioinformatics advances · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Complex genetic variation in nearly complete human genomes.bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mir HenglinInstitute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0003-3604-4868
Maryam GhareghaniDepartment of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
William T HarveyDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-0646-7528
David PorubskyDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8414-8966
Sergey KorenGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-1472-8962
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-8246-4014
Peter EbertInstitute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. peter.ebert@hhu.de.ORCID http://orcid.org/0000-0001-7441-532X
Tobias MarschallInstitute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. tobias.marschall@hhu.de.ORCID http://orcid.org/0000-0002-9376-1030

Funding

Identifying and Characterizing the Full Spectrum of Haplotype-resolved Structural Variation in Human GenomesU24HG007497 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Evan Eichler, Jan Oliver Korbel · 2019 to 2026
$17.2M
Sequence-resolved structural variation of human genomesR01HG010169 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2018 to 2026
$4.5M
NHGRI NIH HHS R01 HG010169NHGRI NIH HHS U24 HG007497
6 · The paper itself

Abstract

Haplotype information is crucial for biomedical and population genetics research. However, current strategies to produce de novo haplotype-resolved assemblies often require either difficult-to-acquire parental data or an intermediate haplotype-collapsed assembly. Here, we present Graphasing, a workflow which synthesizes the global phase signal of Strand-seq with assembly graph topology to produce chromosome-scale de novo haplotypes for diploid genomes. Graphasing readily integrates with any assembly workflow that both outputs an assembly graph and has a haplotype assembly mode. Graphasing performs comparably to trio phasing in contiguity, phasing accuracy, and assembly quality, outperforms Hi-C in phasing accuracy, and generates human assemblies with over 18 chromosome-spanning haplotypes.

Indexed as

DiploidyGenome, HumanHaplotypesSingle-Cell AnalysisGenomicsHumansSequence Analysis, DNASoftwareAssembly graphDe novo assemblyHaplotypeHi-CHifiasmPhasingStrand-seqTrioVerkko

Identifiers

PMID39390579
PMCPMC11466045

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Registered trials

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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.