Evidence map›Paper›PMID 28824589›Full record

ArticleFrontiers in microbiology2017

Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp.

Xiaoli Dong, Manuel Kleiner, Christine E Sharp, Erin Thorson, Carmen Li, Dan Liu, Marc Strous

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  6. Identification of Eimeria spp. in domestic chickens raised in alternative poultry production systems in the State of São Paulo, Brazil.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2023
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  8. Review
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  19. Article
  20. Frontiers in genetics · 2020
    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

7 authors.

Xiaoli DongDepartment of Geoscience, University of CalgaryCalgary, AB, Canada.
Manuel KleinerDepartment of Geoscience, University of CalgaryCalgary, AB, Canada.
Christine E SharpDepartment of Geoscience, University of CalgaryCalgary, AB, Canada.
Erin ThorsonDepartment of Geoscience, University of CalgaryCalgary, AB, Canada.
Carmen LiDepartment of Biological Sciences, University of CalgaryCalgary, AB, Canada.
Dan LiuDepartment of Geoscience, University of CalgaryCalgary, AB, Canada.
Marc StrousDepartment of Geoscience, University of CalgaryCalgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial community profiling by barcoded 16S rRNA gene amplicon sequencing currently has many applications in microbial ecology. The low costs of the parallel sequencing of multiplexed samples, combined with the relative ease of data processing and interpretation (compared to shotgun metagenomes) have made this an entry-level approach. Here we present the MetaAmp pipeline for processing of SSU rRNA gene and other non-coding or protein-coding amplicon sequencing data by investigators that are inexperienced with bioinformatics procedures. It accepts single-end or paired-end sequences in fasta or fastq format from various sequencing platforms. It includes read quality control, and merging of forward and reverse reads of paired-end reads. It makes use of UPARSE, Mothur, and the SILVA database for clustering, removal of chimeric reads, taxonomic classification, and generation of diversity metrics. The pipeline has been validated with a mock community of known composition. MetaAmp provides a convenient web interface as well as command line interface. It is freely available at: http://ebg.ucalgary.ca/metaamp. Since its launch 2 years ago, MetaAmp has been used >2,800 times, by many users worldwide.

Indexed as

amplicon sequencingbioinformaticsmetagenomicsmicrobial ecologymicrobiome

Identifiers

PMID28824589
PMCPMC5540949

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.