Cargando…
Quantification of variation and the impact of biomass in targeted 16S rRNA gene sequencing studies
BACKGROUND: Recent advances in sequencing technologies and bioinformatics tools have allowed for large-scale microbiome studies that are rapidly advancing medical research. However, small changes in technique or analysis can significantly alter the results and lead to conflicting findings. Quantifyi...
Autores principales: | Bender, Jeffrey M., Li, Fan, Adisetiyo, Helty, Lee, David, Zabih, Sara, Hung, Long, Wilkinson, Thomas A., Pannaraj, Pia S., She, Rosemary C., Bard, Jennifer Dien, Tobin, Nicole H., Aldrovandi, Grace M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131952/ https://www.ncbi.nlm.nih.gov/pubmed/30201048 http://dx.doi.org/10.1186/s40168-018-0543-z |
Ejemplares similares
-
Contributions to human breast milk microbiome and enteromammary transfer of Bifidobacterium breve
por: Kordy, Kattayoun, et al.
Publicado: (2020) -
Optimizing 16S rRNA gene profile analysis from low biomass nasopharyngeal and induced sputum specimens
por: Claassen-Weitz, Shantelle, et al.
Publicado: (2020) -
Design and evaluation of 16S rRNA sequence based oligonucleotide probes for the detection and quantification of Comamonas testosteroni in mixed microbial communities
por: Bathe, Stephan, et al.
Publicado: (2006) -
metaSPARSim: a 16S rRNA gene sequencing count data simulator
por: Patuzzi, Ilaria, et al.
Publicado: (2019) -
Bacterial diversity of middle ear cholesteatoma by 16S rRNA gene sequencing in China
por: Liang, Qiulin, et al.
Publicado: (2023)