Evidence map›Paper›PMID 38689099›Full record

ReviewNature methods2024

Unveiling microbial diversity: harnessing long-read sequencing technology.

Daniel P Agustinho, Yilei Fu, Vipin K Menon, Ginger A Metcalf, Todd J Treangen, Fritz J Sedlazeck

Abstract readReview
In one paragraph

Review in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Trial
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  14. iScience · 2026
    Article
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  16. Review
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  18. Review
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

6 authors.

Daniel P AgustinhoHuman Genome Sequencing center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0003-2242-4798
Yilei FuDepartment of Computer Science, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0002-7721-7027
Vipin K MenonHuman Genome Sequencing center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-7404-678X
Ginger A MetcalfHuman Genome Sequencing center, Baylor College of Medicine, Houston, TX, USA.
Todd J TreangenDepartment of Computer Science, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0002-3760-564X
Fritz J SedlazeckHuman Genome Sequencing center, Baylor College of Medicine, Houston, TX, USA. fritz.sedlazeck@bcm.edu.ORCID http://orcid.org/0000-0001-6040-2691

Funding

Viral Diversity and Pathogenicity in Mucosal Respiratory and Gastrointestinal DiseaseU19AI144297 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI PETROSINO, JOSEPH FRANK · 2019 to 2024
$30.1M
Project 3: Functional Microbiome and Host Signatures in Transition from Commensal to pathogenP01AI152999 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SAVIDGE, TOR C. · 2020 to 2025
$12.0M
National Science Foundation (NSF) EF-2126387National Science Foundation (NSF) III-2239114NIAID NIH HHS P01 AI152999NIAID NIH HHS U19 AI144297U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) 1U19AI144297U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) P01-AI152999
6 · The paper itself

Abstract

Long-read sequencing has recently transformed metagenomics, enhancing strain-level pathogen characterization, enabling accurate and complete metagenome-assembled genomes, and improving microbiome taxonomic classification and profiling. These advancements are not only due to improvements in sequencing accuracy, but also happening across rapidly changing analysis methods. In this Review, we explore long-read sequencing's profound impact on metagenomics, focusing on computational pipelines for genome assembly, taxonomic characterization and variant detection, to summarize recent advancements in the field and provide an overview of available analytical methods to fully leverage long reads. We provide insights into the advantages and disadvantages of long reads over short reads and their evolution from the early days of long-read sequencing to their recent impact on metagenomics and clinical diagnostics. We further point out remaining challenges for the field such as the integration of methylation signals in sub-strain analysis and the lack of benchmarks.

Indexed as

High-Throughput Nucleotide SequencingMetagenomicsMicrobiotaSequence Analysis, DNAComputational BiologyHumansMetagenome

Identifiers

PMID38689099
PMCPMC11955098

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.