Robust species taxonomy assignment algorithm for 16S rRNA NGS reads: application to oral carcinoma samples

BACKGROUND: Usefulness of next-generation sequencing (NGS) in assessing bacteria associated with oral squamous cell carcinoma (OSCC) has been undermined by inability to classify reads to the species level. OBJECTIVE: The purpose of this study was to develop a robust algorithm for species-level class...

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Detalles Bibliográficos
Autores principales: Al-Hebshi, Nezar Noor, Nasher, Akram Thabet, Idris, Ali Mohamed, Chen, Tsute
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2015
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4590409/
https://www.ncbi.nlm.nih.gov/pubmed/26426306
http://dx.doi.org/10.3402/jom.v7.28934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4590409/
https://www.ncbi.nlm.nih.gov/pubmed/26426306
http://dx.doi.org/10.3402/jom.v7.28934

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