Title | maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines. |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Chetnik K, Benedetti E, Gomari DP, Schweickart A, Batra R, Buyukozkan M, Wang Z, Arnold M, Zierer J, Suhre K, Krumsiek J |
Journal | Bioinformatics |
Volume | 38 |
Issue | 4 |
Pagination | 1168-1170 |
Date Published | 2022 Jan 27 |
ISSN | 1367-4811 |
Keywords | Data Analysis, Data Visualization, Metabolomics, Software |
Abstract | 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. |
DOI | 10.1093/bioinformatics/btab741 |
Alternate Journal | Bioinformatics |
PubMed ID | 34694386 |
PubMed Central ID | PMC8796365 |
Grant List | R01 AG069901 / AG / NIA NIH HHS / United States RF1 AG058942 / AG / NIA NIH HHS / United States RF1 AG059093 / AG / NIA NIH HHS / United States U01 AG061359 / AG / NIA NIH HHS / United States / / Biomedical Research Program' funds at Weill Cornell Medical College in Qatar / / / Qatar Foundation and multiple grants from the Qatar National Research Fund (QNRF) / U19 AG063744 / AG / NIA NIH HHS / United States |