Evidence map›Paper›PMID 41639459›Full record

ArticleNature2026

Efficient near-telomere-to-telomere assembly of nanopore simplex reads.

Haoyu Cheng, Han Qu, Sean McKenzie, Katherine R Lawrence, Rhydian Windsor, Mike Vella, Peter J Park, Heng Li

Abstract read
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  11. Article
  12. Haplotype-aware long-read error correction.Algorithms for molecular biology : AMB · 2026
    Article
  13. Article
  14. HOROSCOPE: Decoding human centromere architecture from short reads usingbioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Genome sequence ofMicrobiology resource announcements · 2026
    Article
  17. Article
  18. Article
  19. Nanopore Data-Driven Near-T2T Genome Assembly ofPlants (Basel, Switzerland) · 2026
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Haoyu Cheng *Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA. haoyu.cheng@yale.edu.ORCID http://orcid.org/0000-0002-9209-5793
Han Qu *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6016-5152
Sean McKenzieOxford Nanopore Technologies, Oxford, UK.
Katherine R LawrenceOxford Nanopore Technologies, Oxford, UK.
Rhydian WindsorOxford Nanopore Technologies, Oxford, UK.
Mike VellaOxford Nanopore Technologies, Oxford, UK.
Peter J ParkDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9378-960X
Heng LiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. hli@ds.dfci.harvard.edu.ORCID http://orcid.org/0000-0003-4874-2874

Funding

The WashU-UCSC-EBI Human Genome Reference Center."U41HG010972 · NHGRI · WASHINGTON UNIVERSITY · PI Ira M Hall, Heng Li · 2019 to 2026
$24.9M
ELSI Administrative Supplement - Center for Human Reference Genome DiversityU01HG010971 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI EICHLER, EVAN, JARVIS, ERICH D · 2019 to 2023
$18.4M
Genetic & Social Determinants of Health: Center for Admixture Science and TechnologyRM1HG011558 · NHGRI · YALE UNIVERSITY · PI FRAZER, KELLY A, GYMREK, MELISSA · 2021 to 2025
$11.2M
Data Analysis Center for Somatic Mosaicism Across Human Tissues NetworkUM1DA058230 · NIDA · HARVARD MEDICAL SCHOOL · PI Peter J Park · 2023 to 2026
$6.3M
Advanced computational methods in analyzing high-throughput sequencing dataR01HG010040 · NHGRI · DANA-FARBER CANCER INST · PI Heng Li · 2018 to 2026
$3.7M
Enhancement and further development of informatics methods for long-read cancer sequencingU24CA294203 · NCI · DANA-FARBER CANCER INST · PI Catarina D. Campbell, Heng Li · 2024 to 2026
$2.6M
Mutational signature analysis: methods and applications to the clinicR01CA269805 · NCI · HARVARD MEDICAL SCHOOL · PI Peter J Park · 2022 to 2026
$2.2M
Calling germline and mosaic variants from long genomic and RNA-seq readsR01HG014175 · NHGRI · DANA-FARBER CANCER INST · PI Heng Li · 2025 to 2026
$1.0M
Robust and cost-effective computational methods for haplotype-resolved genome assembliesR00HG012798 · NHGRI · YALE UNIVERSITY · PI Haoyu Cheng · 2024 to 2026
$747k
Robust and cost-effective computational methods for haplotype-resolved genome assembliesK99HG012798 · NHGRI · DANA-FARBER CANCER INST · PI CHENG, HAOYU · 2023 to 2024
$165k
NCI NIH HHS R01 CA269805NCI NIH HHS U24 CA294203NHGRI NIH HHS K99 HG012798NHGRI NIH HHS R00 HG012798NHGRI NIH HHS R01 HG010040NHGRI NIH HHS R01 HG014175NHGRI NIH HHS RM1 HG011558NHGRI NIH HHS U01 HG010971NHGRI NIH HHS U41 HG010972NIDA NIH HHS UM1 DA058230
6 · The paper itself

Abstract

Telomere-to-telomere (T2T) assembly is the ultimate goal for de novo genome assembly. Existing algorithms

Indexed as

Nanopore SequencingSequence Analysis, DNATelomereAlgorithmsAnimalsHumans

Identifiers

PMID41639459
PMCPMC13070018

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.