Evidence map›Paper›PMID 25270300›Full record

ArticleScientific reports2014

Improved assemblies using a source-agnostic pipeline for MetaGenomic Assembly by Merging (MeGAMerge) of contigs.

Matthew Scholz, Chien-Chi Lo, Patrick S G Chain

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Enhanced mercury phytoremediation by Pseudomonodictys pantanalensis sp. nov. A73 and Westerdykella aquatica P71.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Enteric Virome and Carcinogenesis in the Gut.Digestive diseases and sciences · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

3 authors.

Matthew Scholz1] Genome Science Group, Los Alamos National Laboratory, Los Alamos, NM 87545 [2] Microbial and Metagenome Program, Joint Genome Institute, Walnut Creek, CA 94598.
Chien-Chi Lo1] Genome Science Group, Los Alamos National Laboratory, Los Alamos, NM 87545 [2] Microbial and Metagenome Program, Joint Genome Institute, Walnut Creek, CA 94598.
Patrick S G Chain1] Genome Science Group, Los Alamos National Laboratory, Los Alamos, NM 87545 [2] Microbial and Metagenome Program, Joint Genome Institute, Walnut Creek, CA 94598.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assembly of metagenomic samples is a very complex process, with algorithms designed to address sequencing platform-specific issues, (read length, data volume, and/or community complexity), while also faced with genomes that differ greatly in nucleotide compositional biases and in abundance. To address these issues, we have developed a post-assembly process: MetaGenomic Assembly by Merging (MeGAMerge). We compare this process to the performance of several assemblers, using both real, and in-silico generated samples of different community composition and complexity. MeGAMerge consistently outperforms individual assembly methods, producing larger contigs with an increased number of predicted genes, without replication of data. MeGAMerge contigs are supported by read mapping and contig alignment data, when using synthetically-derived and real metagenomic data, as well as by gene prediction analyses and similarity searches. MeGAMerge is a flexible method that generates improved metagenome assemblies, with the ability to accommodate upcoming sequencing platforms, as well as present and future assembly algorithms.

Indexed as

Contig MappingMetagenomeSoftwareAlgorithmsComputational BiologyGenome, BacterialHumansMetagenomicsSequence Analysis, DNA

Identifiers

PMID25270300
PMCPMC4180827

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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.