Evidence map›Paper›PMID 41388245›Full record

ArticleBMC genomics2025

NaMeco - Nanopore full-length 16S rRNA gene reads clustering and annotation.

Timur Yergaliyev, Bibiana Rios-Galicia, Amélia Camarinha-Silva

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Timur YergaliyevInstitute of Animal Science, University of Hohenheim, Stuttgart, Germany.
Bibiana Rios-GaliciaInstitute of Animal Science, University of Hohenheim, Stuttgart, Germany.
Amélia Camarinha-SilvaInstitute of Animal Science, University of Hohenheim, Stuttgart, Germany. amelia.silva@uni-hohenheim.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNanopore sequencing is currently one of the leading third-generation sequencing technologies on the market and is gaining popularity among researchers. Due to its long-read capabilities, full-length 16S rRNA gene metabarcoding using Oxford Nanopore Technologies (ONT) offers great potential for metataxonomic studies. However, the relatively high error rate poses a significant challenge for bioinformatic processing, often limiting taxonomy resolution to the genus level despite the longer read length.

resultsThis study presents NaMeco, a novel tool specifically developed to efficiently process long 16S rRNA gene reads sequenced using Oxford Nanopore Technologies, requiring minimal user input. Our tool performs read quality control, primer-specific extraction of sequences and their clustering, followed by taxonomic annotation with percent identity thresholds that minimize the amount of false-positive annotations. It produces several outputs: a table of cluster counts, taxonomic annotations of clusters, their representative sequences in fasta format and taxa counts at each taxonomy rank. Output files are compatible with the Qiime2 pipeline and can be imported into the required format for downstream analyses.

conclusionsNaMeco, in combination with the full SSU GTDB database, outperforms existing tools such as NanoCLUST and EPI2ME, while delivering taxonomy accuracy and detection rates comparable to Emu.

Indexed as

Molecular Sequence AnnotationNanoporesNanopore SequencingRNA, Ribosomal, 16SSoftwareCluster AnalysisComputational BiologyHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16S16S rRNA geneClustersGTDBHDBscanMetataxonomicsNanoporeUMAP

Identifiers

PMID41388245
PMCPMC12817509

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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.