We are excited to announce that original notame has gone through a facelift, and notame, notameViz, and notameStats are now available as Bioconductor packages in the Bioconductor 3.22 release!
About the packages
A combination of these packages provides an efficient, more reproducible, and more compatible framework for metabolomics data. Altogether, and similarly to the original package before, these three packages support the metabolomics dataset, enabling users to:
· Step-by-step preprocessing, including but not limited to systematic intensity drift correction and quality metrics evaluation
· Perform a variety of statistical analyses, such as unbiased variable selection
· Visualize, for example, correlations, differences, or feature importance
Key Features
Use of the SummarizedExperiment data container, capable of handling several assays and modular to downstream analysis.
Key elements in metabolomics data analysis, including e.g., signal intensity drift correction, flagging low-quality molecular features, and random forest imputation.
High-performance parallel backend powered by BiocParallel.
Publication-ready visualizations via notameViz and ggplot2.
Installation
if (!require(“BiocManager”, quietly = TRUE))
install.packages(“BiocManager”)
BiocManager::install(“notame”)
BiocManager::install(“notameStats”)