Evidence map›Paper›PMID 27832214›Full record

ArticlemSystems

Application of a Database-Independent Approach To Assess the Quality of Operational Taxonomic Unit Picking Methods.

Patrick D Schloss

Abstract readComment
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Reintroducing mothur: 10 Years Later.Applied and environmental microbiology · 2020
    Review
  10. Review
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Article
  18. Performing Skin Microbiome Research: A Method to the Madness.The Journal of investigative dermatology · 2017
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Patrick D SchlossDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan USA.ORCID 0000-0002-6935-4275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assignment of 16S rRNA gene sequences to operational taxonomic units (OTUs) allows microbial ecologists to overcome the inconsistencies and biases within bacterial taxonomy and provides a strategy for clustering similar sequences that do not have representatives in a reference database. I have applied the Matthews correlation coefficient to assess the ability of 15 reference-independent and -dependent clustering algorithms to assign sequences to OTUs. This metric quantifies the ability of an algorithm to reflect the relationships between sequences without the use of a reference and can be applied to any data set or method. The most consistently robust method was the average neighbor algorithm; however, for some data sets, other algorithms matched its performance.

Indexed as

16S rRNA gene sequencesbioinformaticsenvironmental microbiologymetagenomicsmicrobial ecologymicrobiomemothurOTUQIIME

Identifiers

PMID27832214
PMCPMC5069744

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.