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

2021/05/06 by Kelsey Chetnik, Elisa Benedetti, Chetnik, Kelsey +19
Biochemistry, Genetics and Molecular Biology · Decision Sciences · #FOS: Biological sciences #Genomics (q-bio.GN) #Metabolomics and Mass Spectrometry Studies #Microbial Metabolic Engineering and Bioproduction #Scientific Computing and Data Management

paper · pdf · doi:10.48550/arxiv.2105.04305

openalex publication_date 2021/05/06 · openalex created_date 2021/05/24 · openalex updated_date 2026/07/28

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.

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