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maplet: An extensible R toolbox for modular and reproducible omics pipelines

Authors :
Chetnik, Kelsey
Benedetti, Elisa
Gomari, Daniel P.
Schweickart, Annalise
Batra, Richa
Buyukozkan, Mustafa
Wang, Zeyu
Arnold, Matthias
Zierer, Jonas
Suhre, Karsten
Krumsiek, Jan
Publication Year :
2021

Abstract

This paper presents maplet, an open-source R package for the creation of highly customizable, fully reproducible statistical pipelines for omics data analysis, with a special focus on metabolomics-based methods. 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 individual maintenance of 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.

Subjects

Subjects :
Quantitative Biology - Genomics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2105.04305
Document Type :
Working Paper