Evidence map›Paper›PMID 41792155›Full record

ArticleNature communications2026

High-quality metagenome assembly from nanopore reads with nanoMDBG.

Gaëtan Benoit, Robert James, Sébastien Raguideau, Georgina Alabone, Tim Goodall, Rayan Chikhi, Christopher Quince

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  8. Review
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  11. High-resolution metagenome assembly for modern long reads with myloasm.bioRxiv : the preprint server for biology · 2025
    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

7 authors.

Gaëtan BenoitInstitut Pasteur, Université Paris Cité, Sequence Bioinformatics Unit, Paris, France.
Robert JamesQuadram Institute, Norwich, UK.
Sébastien RaguideauEarlham Institute, Norwich, UK.ORCID http://orcid.org/0000-0001-8727-2604
Georgina AlaboneQuadram Institute, Norwich, UK.
Tim GoodallUK Centre for Ecology & Hydrology, Wallingford, UK.ORCID http://orcid.org/0000-0002-1526-4071
Rayan ChikhiInstitut Pasteur, Université Paris Cité, Sequence Bioinformatics Unit, Paris, France.ORCID http://orcid.org/0000-0003-1099-8735
Christopher QuinceQuadram Institute, Norwich, UK. christopher.quince@earlham.ac.uk.ORCID http://orcid.org/0000-0003-1884-8440

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 872539, 956229, 101047160 and 101088572RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BBX011089/1,BBS/E/ER/230002C,BB/CSP1720/1,BB/X011054/1
6 · The paper itself

Abstract

Third-generation long-read sequencing technologies, significantly improve metagenome assemblies. Highly accurate PacBio HiFi reads can yield hundreds of near-complete metagenome-assembled genomes (MAGs) from a single sample. Recently, the accuracy of the more cost-effective Oxford Nanopore Technologies (ONT) platform has increased to a per-base error rate of 1-2%. However, current metagenome assemblers are optimized for HiFi and do not scale to the large data sets that ONT enables. We present nanoMDBG, an evolution of metaMDBG, which supports the latest ONT reads through an error correction pre-processing step in minimizer-space. Across a range of ONT datasets, including a large 400 Gbp soil sample, nanoMDBG reconstructs up to twice as many high-quality MAGs as the next best ONT assembler, metaFlye, while requiring a third of the CPU time and memory. Critically, the latest ONT technology can now produce comparable MAG construction results as those obtained using PacBio HiFi at the same sequencing depth.

Indexed as

MetagenomeMetagenomicsNanoporesNanopore SequencingSoftwareHigh-Throughput Nucleotide SequencingSequence Analysis, DNA

Identifiers

PMID41792155
PMCPMC13087279

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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.