Evidence map›Paper›PMID 34259891›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2021

Metagenomics: a path to understanding the gut microbiome.

Sandi Yen, Jethro S Johnson

Open access · hybridAbstract readReview
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

38 citing papers in PubMed, 76 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Exploring theFrontiers in microbiology · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. A review of neural networks for metagenomic binning.Briefings in bioinformatics · 2025
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

Sandi YenOxford Centre for Microbiome Studies, Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Headington, Oxford, OX3 7FY, UK.ORCID http://orcid.org/0000-0001-5757-7693
Jethro S JohnsonOxford Centre for Microbiome Studies, Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Headington, Oxford, OX3 7FY, UK. jethro.johnson@kennedy.ox.ac.uk.ORCID http://orcid.org/0000-0001-9155-054X
University of Oxford · GB

Funding

Department of Health
6 · The paper itself

Abstract

The gut microbiome is a major determinant of host health, yet it is only in the last 2 decades that the advent of next-generation sequencing has enabled it to be studied at a genomic level. Shotgun sequencing is beginning to provide insight into the prokaryotic as well as eukaryotic and viral components of the gut community, revealing not just their taxonomy, but also the functions encoded by their collective metagenome. This revolution in understanding is being driven by continued development of sequencing technologies and in consequence necessitates reciprocal development of computational approaches that can adapt to the evolving nature of sequence datasets. In this review, we provide an overview of current bioinformatic strategies for handling metagenomic sequence data and discuss their strengths and limitations. We then go on to discuss key technological developments that have the potential to once again revolutionise the way we are able to view and hence understand the microbiome.

Indexed as

MetagenomicsComputational BiologyGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansMetagenomeMicrobiotaRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID34259891
PMCPMC8295064
OpenAlexW3182938562

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.