Evidence map›Paper›PMID 34747470›Full record

ArticleNucleic acids research2022

AMDB: a database of animal gut microbial communities with manually curated metadata.

Junwon Yang, Jonghyun Park, Yeonjae Jung, Jongsik Chun

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
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  10. The African Human Microbiome Portal: a public web portal of curated metagenomic metadata.Database : the journal of biological databases and curation · 2024
    Article
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  13. Review
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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.

Junwon YangInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-9814-6918
Jonghyun ParkInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-2918-1867
Yeonjae JungInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-7022-4152
Jongsik ChunInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.ORCID 0000-0003-3385-5171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variations in gut microbiota can be explained by animal host characteristics, including host phylogeny and diet. However, there are currently no databases that allow for easy exploration of the relationship between gut microbiota and diverse animal hosts. The Animal Microbiome Database (AMDB) is the first database to provide taxonomic profiles of the gut microbiota in various animal species. AMDB contains 2530 amplicon data from 34 projects with manually curated metadata. The total data represent 467 animal species and contain 10 478 bacterial taxa. This novel database provides information regarding gut microbiota structures and the distribution of gut bacteria in animals, with an easy-to-use interface. Interactive visualizations are also available, enabling effective investigation of the relationship between the gut microbiota and animal hosts. AMDB will contribute to a better understanding of the gut microbiota of animals. AMDB is publicly available without login requirements at http://leb.snu.ac.kr/amdb.

Indexed as

Databases, GeneticAnimalsBacteriaGastrointestinal MicrobiomeMetadataMicrobiotaPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID34747470
PMCPMC8728277

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.