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

Publication ,  Journal Article
Chetnik, K; Benedetti, E; Gomari, DP; Schweickart, A; Batra, R; Buyukozkan, M; Wang, Z; Arnold, M; Zierer, J; Suhre, K; Krumsiek, J
Published in: Bioinformatics
January 27, 2022

UNLABELLED: 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. AVAILABILITY AND IMPLEMENTATION: The maplet package is implemented in R and freely available at https://github.com/krumsieklab/maplet.

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Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

January 27, 2022

Volume

38

Issue

4

Start / End Page

1168 / 1170

Location

England

Related Subject Headings

  • Software
  • Metabolomics
  • Data Visualization
  • Data Analysis
  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences
  • 06 Biological Sciences
 

Citation

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Chetnik, K., Benedetti, E., Gomari, D. P., Schweickart, A., Batra, R., Buyukozkan, M., … Krumsiek, J. (2022). maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines. Bioinformatics, 38(4), 1168–1170. https://doi.org/10.1093/bioinformatics/btab741
Chetnik, Kelsey, Elisa Benedetti, Daniel P. Gomari, Annalise Schweickart, Richa Batra, Mustafa Buyukozkan, Zeyu Wang, et al. “maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines.Bioinformatics 38, no. 4 (January 27, 2022): 1168–70. https://doi.org/10.1093/bioinformatics/btab741.
Chetnik K, Benedetti E, Gomari DP, Schweickart A, Batra R, Buyukozkan M, et al. maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines. Bioinformatics. 2022 Jan 27;38(4):1168–70.
Chetnik, Kelsey, et al. “maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines.Bioinformatics, vol. 38, no. 4, Jan. 2022, pp. 1168–70. Pubmed, doi:10.1093/bioinformatics/btab741.
Chetnik K, Benedetti E, Gomari DP, 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. 2022 Jan 27;38(4):1168–1170.

Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

January 27, 2022

Volume

38

Issue

4

Start / End Page

1168 / 1170

Location

England

Related Subject Headings

  • Software
  • Metabolomics
  • Data Visualization
  • Data Analysis
  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences
  • 06 Biological Sciences