Evidence map›Paper›PMID 29917068›Full record

ArticleGigaScience2018

YAMP: a containerized workflow enabling reproducibility in metagenomics research.

Alessia Visconti, Tiphaine C Martin, Mario Falchi

Abstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Physiologic colonic uptake ofEuropean journal of nuclear medicine and molecular imaging · 2021
    Article
  11. Article
  12. Article
  13. Conducting metagenomic studies in microbiology and clinical research.Applied microbiology and biotechnology · 2018
    Review
  14. Article
  15. Article
  16. 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.

Alessia ViscontiDepartment of Twin Research and Genetic Epidemiology, King's College London, Westminster Bridge Road, SE1 7EH, London, UK.
Tiphaine C MartinDepartment of Twin Research and Genetic Epidemiology, King's College London, Westminster Bridge Road, SE1 7EH, London, UK.
Mario FalchiDepartment of Twin Research and Genetic Epidemiology, King's College London, Westminster Bridge Road, SE1 7EH, London, UK.

Funding

Medical Research Council MR/M004422/1
6 · The paper itself

Abstract

YAMP ("Yet Another Metagenomics Pipeline") is a user-friendly workflow that enables the analysis of whole shotgun metagenomic data while using containerization to ensure computational reproducibility and facilitate collaborative research. YAMP can be executed on any UNIX-like system and offers seamless support for multiple job schedulers as well as for the Amazon AWS cloud. Although YAMP was developed to be ready to use by nonexperts, bioinformaticians will appreciate its flexibility, modularization, and simple customization.

Indexed as

WorkflowComputational BiologyComputer SimulationHumansInternetMetagenomicsReproducibility of ResultsSoftware

Identifiers

PMID29917068
PMCPMC6047416

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.