Open Accessmaplet: an extensible R toolbox for modular and reproducible metabolomics pipelines
Author(s) -
Kelsey Chetnik,
Elisa Benedetti,
Daniel P. Gomari,
Annalise Schweickart,
Richa Batra,
Mustafa Büyüközkan,
Zeyu Wang,
Matthias Arnold,
Jonas Zierer,
Karsten Suhre,
Jan Krumsiek
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab741
Subject(s) - toolbox , modular design , computer science , extensibility , pipeline transport , metabolomics , computational biology , data mining , programming language , bioinformatics , biology , chemistry , organic chemistry
This article presents maplet, an open-source R package for the creation of highly customizable, fully reproducible statistical pipelines for metabolomics data analysis. It builds on the SummarizedExperiment data structure to create a centralized pipeline framework for storing data, analysis steps, results and visualizations. maplet's key design feature is its modularity, which offers several advantages, such as ensuring code quality through the maintenance of individual functions and promoting collaborative development by removing technical barriers to code contribution. With over 90 functions, the package includes a wide range of functionalities, covering many widely used statistical approaches and data visualization techniques.