ArticleMicrobial genomics2024
GROND: a quality-checked and publicly available database of full-length 16S-ITS-23S rRNA operon sequences.
Article in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
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Who cites it
7 citing papers in PubMed.
- Comparison of a long-read amplicon sequencing approach to short-read amplicons for microbiome analysis.Microbiology spectrum · 2026Article
- Article
- MIrROR release 02: Expanded and refined 16S-ITS-23S rRNA operon dataset.Scientific data · 2026Article
- Fermentation-Driven Valorization of Cashew Apple: Combined Influence of Terroir, Fruit Phenotype, and Clarification Level on Microbial and Biochemical Composition.International journal of food science · 2026Article
- Evaluating the efficiency of 16S-ITS-23S operon sequencing for species level resolution in microbial communities.Scientific reports · 2025Article
- PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences.Frontiers in bioinformatics · 2024Article
- Analysis of microbial composition and sharing in low-biomass human milk samples: a comparison of DNA isolation and sequencing techniques.ISME communications · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sequence comparison of 16S rRNA PCR amplicons is an established approach to taxonomically identify bacterial isolates and profile complex microbial communities. One potential application of recent advances in long-read sequencing technologies is to sequence entire rRNA operons and capture significantly more phylogenetic information compared to sequencing of the 16S rRNA (or regions thereof) alone, with the potential to increase the proportion of amplicons that can be reliably classified to lower taxonomic ranks. Here we describe
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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.