phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data. Background: The analysis of microbial communities through DNA sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing. With the increased breadth of experimental designs now being pursued, project-specific statistical analyses are often needed, and these analyses are often difficult (or impossible) for peer researchers to independently reproduce. The vast majority of the requisite tools for performing these analyses reproducibly are already implemented in R and its extensions (packages), but with limited support for high throughput microbiome census data.
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References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
- David J.M. Barnett; Ilja C.W. Arts; John Penders: microViz: an R package for microbiome data visualization and statistics (2021) not zbMATH
- Yan, Xiaohan; Bien, Jacob: Rare feature selection in high dimensions (2021)
- Martin, Bryan D.; Witten, Daniela; Willis, Amy D.: Modeling microbial abundances and dysbiosis with beta-binomial regression (2020)
- Garth Tarr; Samuel Müller; Alan Welsh: mplot: An R Package for Graphical Model Stability and Variable Selection Procedures (2018) not zbMATH
- Sankaran, Kris; Holmes, Susan: Interactive visualization of hierarchically structured data (2018)
- Xia, Yinglin; Sun, Jun; Chen, Ding-Geng: Statistical analysis of microbiome data with R (2018)
- Bacallado, Sergio; Favaro, Stefano; Trippa, Lorenzo: Bayesian nonparametric inference for shared species richness in multiple populations (2015)
- Kris Sankaran; Susan Holmes: structSSI: Simultaneous and Selective Inference for Grouped or Hierarchically Structured Data (2014) not zbMATH