Evidence map›Paper›PMID 30267313›Full record

ReviewJournal of microbiology (Seoul, Korea)2018

Progress of analytical tools and techniques for human gut microbiome research.

Eun-Ji Song, Eun-Sook Lee, Young-Do Nam

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of microbiology (Seoul, Korea), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Long-read Sequencing of Nascent RNA from Budding and Fission Yeasts.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
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  15. Factors Affecting Gut Microbiota of Puppies from Birth to Weaning.Animals : an open access journal from MDPI · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  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.

Eun-Ji SongResearch Group of Healthcare, Korea Food Research Institute, Wanju, 55365, Republic of Korea.
Eun-Sook LeeResearch Group of Healthcare, Korea Food Research Institute, Wanju, 55365, Republic of Korea.
Young-Do NamResearch Group of Healthcare, Korea Food Research Institute, Wanju, 55365, Republic of Korea. youngdo98@kfri.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massive DNA sequencing studies have expanded our insights and understanding of the ecological and functional characteristics of the gut microbiome. Advanced sequencing technologies allow us to understand the close association of the gut microbiome with human health and critical illnesses. In the future, analyses of the gut microbiome will provide key information associating with human individual health, which will help provide personalized health care for diseases. Numerous molecular biological analysis tools have been rapidly developed and employed for the gut microbiome researches; however, methodological differences among researchers lead to inconsistent data, limiting extensive share of data. It is therefore very essential to standardize the current methodologies and establish appropriate pipelines for human gut microbiome research. Herein, we review the methods and procedures currently available for studying the human gut microbiome, including fecal sample collection, metagenomic DNA extraction, massive DNA sequencing, and data analyses with bioinformatics. We believe that this review will contribute to the progress of gut microbiome research in the clinical and practical aspects of human health.

Indexed as

Gastrointestinal MicrobiomeComputational BiologyData AnalysisFecesHumansMetagenomicsMicrobiotaRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16Sanalytical processbioinformaticsgut microbiotamicrobiomeNGS

Identifiers

What OpenQuestion holds

Textmetadata
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.