Evidence map›Paper›PMID 38730258›Full record

ArticleNature methods2024

Scalable telomere-to-telomere assembly for diploid and polyploid genomes with double graph.

Haoyu Cheng, Mobin Asri, Julian Lucas, Sergey Koren, Heng Li

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers.

0numbers the graph read from it
0cells of the map it votes in
161citing 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

161 citing papers in PubMed.

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  9. Draft genome ofMicrobiology resource announcements · 2026
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101 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Haoyu ChengDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9209-5793
Mobin AsriGenomics Institute, University of California, Santa Cruz, CA, USA.
Julian LucasGenomics Institute, University of California, Santa Cruz, CA, USA.
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
Heng LiDepartment of Data Science, Dana-Farber Cancer Institute, 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
Dockstore: The Community Platform for Reproducible Biomedical Workflows and ApplicationsU24HG011853 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Jonathan Lawson, Benedict Paten · 2021 to 2026
$5.7M
Advanced computational methods in analyzing high-throughput sequencing dataR01HG010040 · NHGRI · DANA-FARBER CANCER INST · PI Heng Li · 2018 to 2026
$3.7M
The construction and utility of reference pan-genome graphsU01HG010961 · NHGRI · DANA-FARBER CANCER INST · PI LI, HENG, PATEN, BENEDICT · 2020 to 2023
$3.2M
Tools for comprehensive variant characterization using the pangenomeU01HG013748 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI LI, HENG, MARSCHALL, TOBIAS · 2024 to 2024
$1.7M
Robust and cost-effective computational methods for haplotype-resolved genome assembliesK99HG012798 · NHGRI · DANA-FARBER CANCER INST · PI CHENG, HAOYU · 2023 to 2024
$165k
NHGRI NIH HHS K99 HG012798NHGRI NIH HHS R01 HG010040NHGRI NIH HHS U01 HG010961NHGRI NIH HHS U01 HG010971NHGRI NIH HHS U01 HG013748NHGRI NIH HHS U24 HG011853NHGRI NIH HHS U41 HG010972U.S. Department of Health & Human Services | National Institutes of Health (NIH) K99HG012798U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HG010040U.S. Department of Health & Human Services | National Institutes of Health (NIH) U01HG010971U.S. Department of Health & Human Services | National Institutes of Health (NIH) U41HG010972
6 · The paper itself

Abstract

Despite advances in long-read sequencing technologies, constructing a near telomere-to-telomere assembly is still computationally demanding. Here we present hifiasm (UL), an efficient de novo assembly algorithm combining multiple sequencing technologies to scale up population-wide near telomere-to-telomere assemblies. Applied to 22 human and two plant genomes, our algorithm produces better diploid assemblies at a cost of an order of magnitude lower than existing methods, and it also works with polyploid genomes.

Indexed as

AlgorithmsDiploidyPolyploidyTelomereGenome, HumanGenome, PlantHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID38730258
PMCPMC11214949

What OpenQuestion holds

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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.