Cargando…
Database limitations for studying the human gut microbiome
BACKGROUND: In the last twenty years, new methodologies have made possible the gathering of large amounts of data concerning the genetic information and metabolic functions associated to the human gut microbiome. In spite of that, processing all this data available might not be the simplest of tasks...
Autores principales: | Dias, Camila K, Starke, Robert, Pylro, Victor S., Morais, Daniel K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924478/ https://www.ncbi.nlm.nih.gov/pubmed/33816940 http://dx.doi.org/10.7717/peerj-cs.289 |
Ejemplares similares
-
Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction methods
por: Bulygin, Ivan, et al.
Publicado: (2023) -
Minimizing confounders and increasing data quality in murine models for studies of the gut microbiome
por: Miyoshi, Jun, et al.
Publicado: (2018) -
The impact of chemerin or chemokine-like receptor 1 loss on the mouse gut microbiome
por: Dranse, Helen J., et al.
Publicado: (2018) -
Desulfovibrio is not always associated with adverse health effects in the Guangdong Gut Microbiome Project
por: Chen, Yi-ran, et al.
Publicado: (2021) -
16S rRNA Gene Copy Number Normalization Does Not Provide More Reliable Conclusions in Metataxonomic Surveys
por: Starke, Robert, et al.
Publicado: (2020)