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Chetnik, K.* ; Benedetti, E.* ; Gomari, D.P. ; Schweickart, A.* ; Batra, R.* ; Buyukozkan, M.* ; Wang, Z.* ; Arnold, M. ; Zierer, J.* ; Suhre, K.* ; Krumsiek, J.*

maplet: An extensible R toolbox for modular and reproducible metabolomics pipelines.

Bioinformatics, DOI: 10.1093/bioinformatics/btab741 (2021)
Verlagsversion DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
This paper 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. AVAILABILITY: The maplet package is implemented in R and freely available at https://github.com/krumsieklab/maplet.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
ISSN (print) / ISBN 1367-4803
Zeitschrift Bioinformatics
Verlag Oxford University Press
Verlagsort Oxford
Begutachtungsstatus Peer reviewed