Evidence map›Paper›PMID 28066818›Full record

ArticlemSystems

Microbiome Helper: a Custom and Streamlined Workflow for Microbiome Research.

André M Comeau, Gavin M Douglas, Morgan G I Langille

Abstract read
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 304 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
304citing 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

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

  1. Pooled it
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  14. Microbiota characterization ofMicrobiology resource announcements · 2026
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244 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

3 authors.

André M ComeauCGEB-Integrated Microbiome Resource (IMR) and Department of Pharmacology, Dalhousie University, Halifax, Canada.
Gavin M DouglasCGEB-Integrated Microbiome Resource (IMR) and Department of Pharmacology, Dalhousie University, Halifax, Canada.
Morgan G I LangilleCGEB-Integrated Microbiome Resource (IMR) and Department of Pharmacology, Dalhousie University, Halifax, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequence-based approaches to study microbiomes, such as 16S rRNA gene sequencing and metagenomics, are uncovering associations between microbial taxa and a myriad of factors. A drawback of these approaches is that the necessary sequencing library preparation and bioinformatic analyses are complicated and continuously changing, which can be a barrier for researchers new to the field. We present three essential components to conducting a microbiome experiment from start to finish: first, a simplified and step-by-step custom gene sequencing protocol that requires limited lab equipment, is cost-effective, and has been thoroughly tested and utilized on various sample types; second, a series of scripts to integrate various commonly used bioinformatic tools that is available as a standalone installation or as a single downloadable virtual image; and third, a set of bioinformatic workflows and tutorials to provide step-by-step guidance and education for those new to the microbiome field. This resource will provide the foundations for those newly entering the microbiome field and will provide much-needed guidance and best practices to ensure that quality microbiome research is undertaken. All protocols, scripts, workflows, tutorials, and virtual images are freely available through the Microbiome Helper website (https://github.com/mlangill/microbiome_helper/wiki).

Indexed as

16S rRNA gene sequencingbioinformaticsdual-indexing PCReducationmetagenomicsmicrobiomeMicrobiome Helperstandard operating procedurevirtual machine

Identifiers

PMID28066818
PMCPMC5209531

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.