Evidence map›Paper›PMID 41015028›Full record

ArticleCell reports methods2025

Reference-guided assembly of metagenomes with MetaCompass.

Tu Luan, Victoria P Cepeda-Espinoza, Bo Liu, Zac Bowen, Ujjwal Ayyangar, Mathieu Almeida, Sergey Koren, Todd J Treangen, Adam Porter, Mihai Pop

Abstract read
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  7. Microbiology spectrum · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Strain-Level Analysis ofmSystems · 2020
    Article
  15. Article
  16. Review
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Tu LuanDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Victoria P Cepeda-EspinozaDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Bo LiuDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Zac BowenFraunhofer USA Center Mid-Atlantic, Riverdale, MD 20737, USA.
Ujjwal AyyangarFraunhofer USA Center Mid-Atlantic, Riverdale, MD 20737, USA.
Mathieu AlmeidaCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Sergey KorenGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Todd J TreangenCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA; Department of Computer Science, Rice University, Houston, TX 77005, USA.
Adam PorterDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA.
Mihai PopDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA. Electronic address: mpop@umd.edu.

Funding

Algorithms and Software for the Assembly of Metagenomic DataR01AI100947 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI POP, MIHAI · 2013 to 2025
$7.4M
Assembly and analysis software for exploring the human microbiomeR01HG004885 · NHGRI · UNIV OF MARYLAND, COLLEGE PARK · PI POP, MIHAI · 2008 to 2010
$888k
NHGRI NIH HHS R01 HG004885NIAID NIH HHS R01 AI100947
6 · The paper itself

Abstract

Metagenomic studies have primarily relied on de novo assembly for reconstructing genes and genomes from microbial mixtures. While reference-guided approaches have been employed in the assembly of single organisms, they have not been used in a metagenomic context. Here, we develop an effective approach for reference-guided metagenomic assembly that can complement and improve upon de novo metagenomic assembly methods for certain organisms. Such approaches will be increasingly useful as more genomes are sequenced and made publicly available.

Indexed as

MetagenomeMetagenomicsSoftwareHumansSequence Analysis, DNAcomparative assemblyCP: geneticsCP: microbiologymetagenome assemblymetagenomicsmicrobiomereference-guided assembly

Identifiers

PMID41015028
PMCPMC12570322

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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.