ReviewComputational and structural biotechnology journal2020
Computational methods for 16S metabarcoding studies using Nanopore sequencing data.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
71 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Standardized 16S Meta-Analysis Reveals Consistent Host-Associated Patterns in Laminariales Epiphytic Microbiomes.MicrobiologyOpen · 2026Pooled it
- Systematic Review: Long-Read Sequencing in Algal Studies.International journal of molecular sciences · 2026Pooled it
- Comparative analysis of MinION and MiSeq using 16S rRNA gene amplicon sequencing in human gut microbiome.BMC biotechnology · 2026Article
- A validated DNA metabarcoding approach for routine authentication of processed bivalves.Food chemistry. Molecular sciences · 2026Article
- Towards standardization in pig microbiome research based on a comprehensive twenty-year review.Animal microbiome · 2026Review
- microbiONT: an AI-assisted, privacy-focused platform for local Nanopore 16S and 18S amplicon analysis.Bioinformatics advances · 2026Article
- Cross-Platform Evaluation of Established NGS-Based Metabarcoding Methods for Detecting Food Fraud in Pistachio Products.Foods (Basel, Switzerland) · 2026Article
- Characterization of the OmnivorousEcology and evolution · 2026Article
- The role of the gut microbiome in antibiotic-driven antimicrobial resistance.Frontiers in microbiology · 2026Review
- Taxonomic diversity and functional adaptations indicated by the rhizospheric soil microbiome derived from Turkish wheat fields.Biology open · 2025Article
- Impact of Clostridium butyricum HADIG-CB003 dietary supplementation on the gut microbiota of Kunming mice.Applied microbiology and biotechnology · 2025Article
- Exploring colostrum microbiota and its influence on early calf gut microbiota development using full-length 16S rRNA gene metabarcoding.Scientific reports · 2025Article
- A Practical Comparison of Short- and Long-Read Metabarcoding Sequencing: Challenges and Solutions for Plastid Read Removal and Microbial Community Exploration of Seaweed Samples.Molecular ecology resources · 2025Article
- A review on microbial-biofilm mediated mechanisms in marine microplastics degradation.Antonie van Leeuwenhoek · 2025Review
- From air to insight: the evolution of airborne DNA sequencing technologies.Microbiology (Reading, England) · 2025Review
- The Long and the Short of It: Nanopore-Based eDNA Metabarcoding of Marine Vertebrates Works; Sensitivity and Species-Level Assignment Depend on Amplicon Lengths.Molecular ecology resources · 2025Article
- Evaluation of Oxford Nanopore Technologies MinION Sequencer as a Novel Short Amplicon Metabarcoding Tool Using Arthropod Mock Sample and Irish Bat Diet Characterisation.Ecology and evolution · 2025Article
- NanoASV: a snakemake workflow for reproducible field-based Nanopore full-length 16S metabarcoding amplicon data analysis.Bioinformatics (Oxford, England) · 2025Article
- A comparative template-switching cDNA approach for HTS-based multiplex detection of three viruses and one viroid commonly found in apple trees.Scientific reports · 2025Article
- Comparative analysis of full-length 16s ribosomal RNA gene sequencing in human oropharyngeal swabs using primer sets with different degrees of degeneracy.Frontiers in cellular and infection microbiology · 2025Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessment of bacterial diversity through sequencing of 16S ribosomal RNA (16S rRNA) genes has been an approach widely used in environmental microbiology, particularly since the advent of high-throughput sequencing technologies. An additional innovation introduced by these technologies was the need of developing new strategies to manage and investigate the massive amount of sequencing data generated. This situation stimulated the rapid expansion of the field of bioinformatics with the release of new tools to be applied to the downstream analysis and interpretation of sequencing data mainly generated using Illumina technology. In recent years, a third generation of sequencing technologies has been developed and have been applied in parallel and complementarily to the former sequencing strategies. In particular, Oxford Nanopore Technologies (ONT) introduced nanopore sequencing which has become very popular among molecular ecologists. Nanopore technology offers a low price, portability and fast sequencing throughput. This powerful technology has been recently tested for 16S rRNA analyses showing promising results. However, compared with previous technologies, there is a scarcity of bioinformatic tools and protocols designed specifically for the analysis of Nanopore 16S sequences. Due its notable characteristics, researchers have recently started performing assessments regarding the suitability MinION on 16S rRNA sequencing studies, and have obtained remarkable results. Here we present a review of the state-of-the-art of MinION technology applied to microbiome studies, the current possible application and main challenges for its use on 16S rRNA metabarcoding.
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Registered trials
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.