Evidence map›Paper›PMID 39327484›Full record

ArticleNature methods2024

Strainy: phasing and assembly of strain haplotypes from long-read metagenome sequencing.

Ekaterina Kazantseva, Ataberk Donmez, Maria Frolova, Mihai Pop, Mikhail Kolmogorov

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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  10. Bioinformatics advances · 2026
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  11. Article
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. High-resolution metagenome assembly for modern long reads with myloasm.bioRxiv : the preprint server for biology · 2025
    Article
  19. Review
  20. Review
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

5 authors.

Ekaterina Kazantseva *Bioinformatics and Systems Biology Program, ITMO University, St. Petersburg, Russia.ORCID http://orcid.org/0009-0000-0904-1560
Ataberk Donmez *Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-4817-0637
Maria FrolovaFunctional Genomics of Prokaryotes Laboratory, Institute of Cell Biophysics, RAS, Pushchino, Russia.ORCID http://orcid.org/0000-0003-0236-8573
Mihai PopDepartment of Computer Science, University of Maryland, College Park, MD, USA. mpop@umd.edu.ORCID http://orcid.org/0000-0001-9617-5304
Mikhail KolmogorovCancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. mikhail.kolmogorov@nih.gov.ORCID http://orcid.org/0000-0002-5489-9045

Funding

Algorithms and Software for the Assembly of Metagenomic DataR01AI100947 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI POP, MIHAI · 2013 to 2025
$7.4M
Population-scale, long-read characterization of human genome and microbiomeZIABC012109 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KOLMOGOROV, MIKHAIL · 2022 to 2025
$876k
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC012109NIAID NIH HHS R01 AI100947U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) Intramural Research Program of the Center for Cancer Research
6 · The paper itself

Abstract

Bacterial species in microbial communities are often represented by mixtures of strains, distinguished by small variations in their genomes. Short-read approaches can be used to detect small-scale variation between strains but fail to phase these variants into contiguous haplotypes. Long-read metagenome assemblers can generate contiguous bacterial chromosomes but often suppress strain-level variation in favor of species-level consensus. Here we present Strainy, an algorithm for strain-level metagenome assembly and phasing from Nanopore and PacBio reads. Strainy takes a de novo metagenomic assembly as input and identifies strain variants, which are then phased and assembled into contiguous haplotypes. Using simulated and mock Nanopore and PacBio metagenome data, we show that Strainy assembles accurate and complete strain haplotypes, outperforming current Nanopore-based methods and comparable with PacBio-based algorithms in completeness and accuracy. We then use Strainy to assemble strain haplotypes of a complex environmental metagenome, revealing distinct strain distribution and mutational patterns in bacterial species.

Indexed as

AlgorithmsHaplotypesMetagenomeMetagenomicsBacteriaGenome, BacterialHigh-Throughput Nucleotide SequencingSequence Analysis, DNA

Identifiers

PMID39327484
PMCPMC13005716

What Socratic holds

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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 Socratic graph.