Evidence map›Paper›PMID 38459383›Full record

ArticleNature methods2024

Constructing telomere-to-telomere diploid genome by polishing haploid nanopore-based assembly.

Joshua Casey Darian, Ritu Kundu, Ramesh Rajaby, Wing-Kin Sung

Abstract read
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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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Efficient near telomere-to-telomere assembly of Nanopore Simplex reads.bioRxiv : the preprint server for biology · 2025
    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.

Joshua Casey DarianSchool of Computing, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-3151-3920
Ritu KunduSchool of Computing, National University of Singapore, Singapore, Singapore.
Ramesh RajabyGenome Institute of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9980-1913
Wing-Kin SungSchool of Computing, National University of Singapore, Singapore, Singapore. kwksung@cuhk.edu.hk.ORCID http://orcid.org/0000-0001-7806-7086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Draft genomes generated from Oxford Nanopore Technologies (ONT) long reads are known to have a higher error rate. Although existing genome polishers can enhance their quality, the error rate (including mismatches, indels and switching errors between paternal and maternal haplotypes) can be significant. Here, we develop two polishers, hypo-short and hypo-hybrid to address this issue. Hypo-short utilizes Illumina short reads to polish an ONT-based draft assembly, resulting in a high-quality assembly with low error rates and switching errors. Expanding on this, hypo-hybrid incorporates ONT long reads to further refine the assembly into a diploid representation. Leveraging on hypo-hybrid, we have created a diploid genome assembly pipeline called hypo-assembler. Hypo-assembler automates the generation of highly accurate, contiguous and nearly complete diploid assemblies using ONT long reads, Illumina short reads and optionally Hi-C reads. Notably, our solution even allows for the production of telomere-to-telomere diploid genomes with additional manual steps. As a proof of concept, we successfully assembled a fully phased telomere-to-telomere diploid genome of HG00733, achieving a quality value exceeding 50.

Indexed as

NanoporesDiploidyHaploidyHigh-Throughput Nucleotide SequencingSequence Analysis, DNATelomere

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.