Evidence map›Paper›PMID 36685333›Full record

ArticleFrontiers in bioinformatics2022

The META tool optimizes metagenomic analyses across sequencing platforms and classifiers.

Robert A Player, Angeline M Aguinaldo, Brian B Merritt, Lisa N Maszkiewicz, Oluwaferanmi E Adeyemo, Ellen R Forsyth, Kathleen J Verratti, Brant W Chee, Sarah L Grady, Christopher E Bradburne

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Robert A PlayerApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Angeline M AguinaldoApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Brian B MerrittApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Lisa N MaszkiewiczApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Oluwaferanmi E AdeyemoApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Ellen R ForsythApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Kathleen J VerrattiApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Brant W CheeDivision of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Sarah L GradyApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Christopher E BradburneApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in the field of metagenomics is the selection of the correct combination of sequencing platform and downstream metagenomic analysis algorithm, or "classifier". Here, we present the Metagenomic Evaluation Tool Analyzer (META), which produces simulated data and facilitates platform and algorithm selection for any given metagenomic use case. META-generated

Indexed as

classifierilluminametagenomic classificationmetagenomicsNGSoxford nanoporetesting and evaluation

Identifiers

PMID36685333
PMCPMC9852826

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.