Evidence map›Paper›PMID 31451112›Full record

ArticleGenome biology2019

MetaCarvel: linking assembly graph motifs to biological variants.

Jay Ghurye, Todd Treangen, Marcus Fedarko, W Judson Hervey, Mihai Pop

Abstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Comparative metagenomics using pan-metagenomic graphs.bioRxiv : the preprint server for biology · 2025
    Article
  3. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. KombOver: Efficient k-core and K-truss based characterization of perturbations within the human gut microbiome.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2024
    Article
  10. Article
  11. KOMB: K-core based de novo characterization of copy number variation in microbiomes.Computational and structural biotechnology journal · 2022
    Article
  12. Article
  13. Article
  14. Whole-Genome Assessment of ClinicalFrontiers in microbiology · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. 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

5 authors.

Jay GhuryeDepartment of Computer Science, University of Maryland, College Park, MD, USA.
Todd TreangenDepartment of Computer Science, Rice University, Houston, TX, USA.
Marcus FedarkoDepartment of Computer Science, University of Maryland, College Park, MD, USA.
W Judson HerveyCenter for Bio/Molecular Science & Engineering, United States Naval Research Laboratory, Washington, DC, USA.ORCID 0000-0003-3285-6754
Mihai PopDepartment of Computer Science, University of Maryland, College Park, MD, USA. mpop@umd.edu.ORCID 0000-0001-9617-5304

Funding

Algorithms and Software for the Assembly of Metagenomic DataR01AI100947 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI POP, MIHAI · 2013 to 2025
$7.4M
National Institute of Allergy and Infectious Diseases R01AI100947NIAID NIH HHS R01 AI100947
6 · The paper itself

Abstract

Reconstructing genomic segments from metagenomics data is a highly complex task. In addition to general challenges, such as repeats and sequencing errors, metagenomic assembly needs to tolerate the uneven depth of coverage among organisms in a community and differences between nearly identical strains. Previous methods have addressed these issues by smoothing genomic variants. We present a variant-aware metagenomic scaffolder called MetaCarvel, which combines new strategies for repeat detection with graph analytics for the discovery of variants. We show that MetaCarvel can accurately reconstruct genomic segments from complex microbial mixtures and correctly identify and characterize several classes of common genomic variants.

Indexed as

AlgorithmsGenetic VariationAcinetobacterBase SequenceDatabases, GeneticFecesHumansMetagenomicsMicrobiotaMutationRepetitive Sequences, Nucleic AcidSequence Analysis, DNAAssemblyMetagenomicsScaffoldingVariant detection

Identifiers

PMID31451112
PMCPMC6710874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.