Evidence map›Paper›PMID 22821567›Full record

ArticleNucleic acids research2012

MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads.

Toshiaki Namiki, Tsuyoshi Hachiya, Hideaki Tanaka, Yasubumi Sakakibara

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 289 papers.

0numbers the graph read from it
0cells of the map it votes in
289citing 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

289 citing papers in PubMed.

  1. Review
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  6. Comparative metagenomics using pan-metagenomic graphs.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
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  10. Review
  11. Review
  12. Article
  13. Decontamination of DNA sequences from a Streptomyces genome for optimal genome mining.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  18. Article
  19. Article
  20. Article

229 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

4 authors.

Toshiaki NamikiDepartment of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
Tsuyoshi Hachiya
Hideaki Tanaka
Yasubumi Sakakibara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important step in 'metagenomics' analysis is the assembly of multiple genomes from mixed sequence reads of multiple species in a microbial community. Most conventional pipelines use a single-genome assembler with carefully optimized parameters. A limitation of a single-genome assembler for de novo metagenome assembly is that sequences of highly abundant species are likely misidentified as repeats in a single genome, resulting in a number of small fragmented scaffolds. We extended a single-genome assembler for short reads, known as 'Velvet', to metagenome assembly, which we called 'MetaVelvet', for mixed short reads of multiple species. Our fundamental concept was to first decompose a de Bruijn graph constructed from mixed short reads into individual sub-graphs, and second, to build scaffolds based on each decomposed de Bruijn sub-graph as an isolate species genome. We made use of two features, the coverage (abundance) difference and graph connectivity, for the decomposition of the de Bruijn graph. For simulated datasets, MetaVelvet succeeded in generating significantly higher N50 scores than any single-genome assemblers. MetaVelvet also reconstructed relatively low-coverage genome sequences as scaffolds. On real datasets of human gut microbial read data, MetaVelvet produced longer scaffolds and increased the number of predicted genes.

Indexed as

Sequence Analysis, DNAAlgorithmsBacteriaGastrointestinal TractGenome, BacterialHumansMetagenomicsSoftware

Identifiers

PMID22821567
PMCPMC3488206

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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.