Cargando…
Investigating differential abundance methods in microbiome data: A benchmark study
The development of increasingly efficient and cost-effective high throughput DNA sequencing techniques has enhanced the possibility of studying complex microbial systems. Recently, researchers have shown great interest in studying the microorganisms that characterise different ecological niches. Dif...
Autores principales: | Cappellato, Marco, Baruzzo, Giacomo, Di Camillo, Barbara |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488820/ https://www.ncbi.nlm.nih.gov/pubmed/36074761 http://dx.doi.org/10.1371/journal.pcbi.1010467 |
Ejemplares similares
-
Modeling Microbial Community Networks: Methods and Tools
por: Cappellato, Marco, et al.
Publicado: (2021) -
benchdamic: benchmarking of differential abundance methods for microbiome data
por: Calgaro, Matteo, et al.
Publicado: (2022) -
Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods
por: Dal Molin, Alessandra, et al.
Publicado: (2017) -
Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results
por: Baruzzo, Giacomo, et al.
Publicado: (2022) -
metaSPARSim: a 16S rRNA gene sequencing count data simulator
por: Patuzzi, Ilaria, et al.
Publicado: (2019)