Evidence map›Paper›PMID 41363330›Full record

ArticleMicrobiology resource announcements2026

A QIIME2-based workflow for multi-amplicon 16S rRNA profiling.

Armando G Licata, Marica Zoppi, Chiara Dossena, Federico Rossignoli, Davide Rizzo, Luca Bergamaschi, Olga Nigro, Stefano Chiaravalli, Maura Massimino, Loris De Cecco

Abstract read
In one paragraph

Article in Microbiology resource announcements, 2026. 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.

Armando G LicataIntegrated Biology of Rare Tumors, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.ORCID 0000-0001-5785-5163
Marica ZoppiIntegrated Biology of Rare Tumors, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Chiara DossenaIntegrated Biology of Rare Tumors, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Federico RossignoliIntegrated Biology of Rare Tumors, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Davide RizzoIntegrated Biology of Rare Tumors, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Luca BergamaschiPediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Olga NigroPediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Stefano ChiaravalliPediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Maura MassiminoPediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Loris De CeccoIntegrated Biology of Rare Tumors, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.ORCID 0000-0002-7066-473X

Funding

Bain Capital Children's FundItalian Ministry of Health NET-2019-12371188
6 · The paper itself

Abstract

We present an open-source QIIME2 pipeline for 16S multi-amplicon sequencing. Benchmarked against proprietary software with a mock community, our workflow demonstrates comparable sequencing depth and taxonomic accuracy (F1-Score=0.875). The multi-region approach outperforms single amplicons, validating our pipeline as a robust alternative for semiconductor-based sequencing data.

Indexed as

16S RNAbioinformaticsmulti‑amplicon sequencingopen‑source softwarepediatric tumorsQIIMEstool microbiome

Identifiers

PMID41363330
PMCPMC12797943

What OpenQuestion holds

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LicenceCC BY
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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.