Evidence map›Paper›PMID 22384016›Full record

ArticlePloS one2012

Assessment of metagenomic assembly using simulated next generation sequencing data.

Daniel R Mende, Alison S Waller, Shinichi Sunagawa, Aino I Järvelin, Michelle M Chan, Manimozhiyan Arumugam, Jeroen Raes, Peer Bork

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 154 papers.

0numbers the graph read from it
0cells of the map it votes in
154citing 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

154 citing papers in PubMed.

  1. Article
  2. Innovatively Unlocking Anammox Driven by Nitrite Accumulation in a nrfA-Deficient Shewanella oneidensis MR-1 Consortium.Water environment research : a research publication of the Water Environment Federation · 2026
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  9. Organic amendments boost maize yield (Frontiers in plant science · 2026
    Article
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  11. Observational
  12. Article
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  15. Article
  16. Article
  17. ganon2: up-to-date and scalable metagenomics analysis.NAR genomics and bioinformatics · 2025
    Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

8 authors.

Daniel R MendeEuropean Molecular Biology Laboratory, Heidelberg, Germany.
Alison S Waller
Shinichi Sunagawa
Aino I Järvelin
Michelle M Chan
Manimozhiyan Arumugam
Jeroen Raes
Peer Bork

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the complexity of the protocols and a limited knowledge of the nature of microbial communities, simulating metagenomic sequences plays an important role in testing the performance of existing tools and data analysis methods with metagenomic data. We developed metagenomic read simulators with platform-specific (Sanger, pyrosequencing, Illumina) base-error models, and simulated metagenomes of differing community complexities. We first evaluated the effect of rigorous quality control on Illumina data. Although quality filtering removed a large proportion of the data, it greatly improved the accuracy and contig lengths of resulting assemblies. We then compared the quality-trimmed Illumina assemblies to those from Sanger and pyrosequencing. For the simple community (10 genomes) all sequencing technologies assembled a similar amount and accurately represented the expected functional composition. For the more complex community (100 genomes) Illumina produced the best assemblies and more correctly resembled the expected functional composition. For the most complex community (400 genomes) there was very little assembly of reads from any sequencing technology. However, due to the longer read length the Sanger reads still represented the overall functional composition reasonably well. We further examined the effect of scaffolding of contigs using paired-end Illumina reads. It dramatically increased contig lengths of the simple community and yielded minor improvements to the more complex communities. Although the increase in contig length was accompanied by increased chimericity, it resulted in more complete genes and a better characterization of the functional repertoire. The metagenomic simulators developed for this research are freely available.

Indexed as

MetagenomicsComputational BiologyComputer SimulationContig MappingDNA, BacterialGenome, BacterialGenomicsMetagenomeModels, GeneticProbabilityQuality ControlReproducibility of ResultsSequence Analysis, DNASoftwareDNA, Bacterial

Identifiers

PMID22384016
PMCPMC3285633

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.