Cargando…
Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples
16S rRNA gene profiling, which contains nine hypervariable regions (V1–V9), is the gold standard for identifying taxonomic units by high-throughput sequencing. Microbiome studies combine two or more region sequences (usually V3–V4) to increase the resolving power for identifying bacterial taxa. We c...
Autores principales: | López-Aladid, Ruben, Fernández-Barat, Laia, Alcaraz-Serrano, Victoria, Bueno-Freire, Leticia, Vázquez, Nil, Pastor-Ibáñez, Roque, Palomeque, Andrea, Oscanoa, Patricia, Torres, Antoni |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998635/ https://www.ncbi.nlm.nih.gov/pubmed/36894603 http://dx.doi.org/10.1038/s41598-023-30764-z |
Ejemplares similares
-
Resistance mechanisms and molecular epidemiology of Pseudomonas aeruginosa strains from patients with bronchiectasis
por: Cabrera, Roberto, et al.
Publicado: (2022) -
The value of biofilm testing to guide antimicrobial stewardship in chronic respiratory diseases
por: Fernández-Barat, Laia, et al.
Publicado: (2023) -
16S Classifier: A Tool for Fast and Accurate Taxonomic Classification of 16S rRNA Hypervariable Regions in Metagenomic Datasets
por: Chaudhary, Nikhil, et al.
Publicado: (2015) -
Exacerbations and Changes in Physical Activity and Sedentary Behaviour in Patients with Bronchiectasis after 1 Year
por: Alcaraz-Serrano, Victoria, et al.
Publicado: (2021) -
The value of serology testing to manage SARS-CoV-2 infections
por: Fernández-Barat, Laia, et al.
Publicado: (2020)