Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples ; volume:13 ; number:1 ; day:9 ; month:3 ; year:2023 ; pages:1-10 ; date:12.2023
Scientific reports ; 13, Heft 1 (9.3.2023), 1-10, 12.2023

Creator: López-Aladid, Ruben
Fernández-Barat, Laia
Alcaraz-Serrano, Victoria
Bueno-Freire, Leticia
Vázquez, Nil
Pastor-Ibáñez, Roque
Palomeque, Andrea
Oscanoa, Patricia
Torres, Antoni

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-30764-z

URN: urn:nbn:de:101:1-2502210743246.040244735557

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

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López-Aladid, Ruben
Fernández-Barat, Laia
Alcaraz-Serrano, Victoria
Bueno-Freire, Leticia
Vázquez, Nil
Pastor-Ibáñez, Roque
Palomeque, Andrea
Oscanoa, Patricia
Torres, Antoni
SpringerLink (Online service)

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Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples

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Other Objects (12)

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