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MetabolomicsR: a streamlined workflow to analyze metabolomic data in R.

ABSTRACT:

Summary

metabolomicsR is a streamlined, flexible and user-friendly R package to preprocess, analyze and visualize metabolomic data. metabolomicsR includes comprehensive functionalities for sample and metabolite quality control, outlier detection, missing value imputation, dimensional reduction, batch effect normalization, data integration, regression, metabolite annotation and visualization of data and results. In this application note, we demonstrate the step-by-step use of the main functions from this package.

Availability and implementation

The metabolomicsR package is available via CRAN and GitHub (https://github.com/XikunHan/metabolomicsR/). A step-by-step online tutorial is available at https://xikunhan.github.io/metabolomicsR/docs/articles/Introduction.html.

Supplementary information

Supplementary data are available at Bioinformatics Advances online.

SUBMITTER: Han X

PROVIDER: S-EPMC9512519 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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metabolomicsR: a streamlined workflow to analyze metabolomic data in R.

Han Xikun X Liang Liming L

Bioinformatics advances 20220916 1

<h4>Summary</h4>metabolomicsR is a streamlined, flexible and user-friendly R package to preprocess, analyze and visualize metabolomic data. metabolomicsR includes comprehensive functionalities for sample and metabolite quality control, outlier detection, missing value imputation, dimensional reduction, batch effect normalization, data integration, regression, metabolite annotation and visualization of data and results. In this application note, we demonstrate the step-by-step use of the main fun ...[more]

PMID: 36177485

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