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maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines
: 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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796365/ https://www.ncbi.nlm.nih.gov/pubmed/34694386 http://dx.doi.org/10.1093/bioinformatics/btab741 |
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author | Chetnik, Kelsey Benedetti, Elisa Gomari, Daniel P Schweickart, Annalise Batra, Richa Buyukozkan, Mustafa Wang, Zeyu Arnold, Matthias Zierer, Jonas Suhre, Karsten Krumsiek, Jan |
author_facet | Chetnik, Kelsey Benedetti, Elisa Gomari, Daniel P Schweickart, Annalise Batra, Richa Buyukozkan, Mustafa Wang, Zeyu Arnold, Matthias Zierer, Jonas Suhre, Karsten Krumsiek, Jan |
author_sort | Chetnik, Kelsey |
collection | PubMed |
description | : 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 |
format | Online Article Text |
id | pubmed-8796365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87963652022-01-31 maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines Chetnik, Kelsey Benedetti, Elisa Gomari, Daniel P Schweickart, Annalise Batra, Richa Buyukozkan, Mustafa Wang, Zeyu Arnold, Matthias Zierer, Jonas Suhre, Karsten Krumsiek, Jan Bioinformatics Applications Notes : 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 Oxford University Press 2021-10-25 /pmc/articles/PMC8796365/ /pubmed/34694386 http://dx.doi.org/10.1093/bioinformatics/btab741 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Chetnik, Kelsey Benedetti, Elisa Gomari, Daniel P Schweickart, Annalise Batra, Richa Buyukozkan, Mustafa Wang, Zeyu Arnold, Matthias Zierer, Jonas Suhre, Karsten Krumsiek, Jan maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines |
title |
maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines |
title_full |
maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines |
title_fullStr |
maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines |
title_full_unstemmed |
maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines |
title_short |
maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines |
title_sort | maplet: an extensible r toolbox for modular and reproducible metabolomics pipelines |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796365/ https://www.ncbi.nlm.nih.gov/pubmed/34694386 http://dx.doi.org/10.1093/bioinformatics/btab741 |
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