Evidence map›Paper›PMID 32117417›Full record

ArticleFrontiers in genetics2019

NG-Tax 2.0: A Semantic Framework for High-Throughput Amplicon Analysis.

Wasin Poncheewin, Gerben D A Hermes, Jesse C J van Dam, Jasper J Koehorst, Hauke Smidt, Peter J Schaap

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

78 citing papers in PubMed, 161 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

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

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

6 authors at 1 institution in 1 country.

Wasin PoncheewinLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, Netherlands.
Gerben D A HermesLaboratory of Microbiology, Wageningen University & Research, Wageningen, Netherlands.
Jesse C J van DamLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, Netherlands.
Jasper J KoehorstLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, Netherlands.
Hauke SmidtLaboratory of Microbiology, Wageningen University & Research, Wageningen, Netherlands.
Peter J SchaapLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, Netherlands.
Wageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NG-Tax 2.0 is a semantic framework for FAIR high-throughput analysis and classification of marker gene amplicon sequences including bacterial and archaeal 16S ribosomal RNA (rRNA), eukaryotic 18S rRNA and ribosomal intergenic transcribed spacer sequences. It can directly use single or merged reads, paired-end reads and unmerged paired-end reads from long range fragments as input to generate

Indexed as

amplicon sequence variantsFAIRontologyoperational taxonomic unitRDFsemantic webSPARQLtaxonomic classification

Identifiers

PMID32117417
PMCPMC6989550
OpenAlexW3001942158

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.