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Tools to process, analyze, and visualize metabolomic data.


Installation

Type Command
Development remotes::install_github("XikunHan/metabolomicsR")


Getting started

The detailed tutorial.

metabolomicsR is a streamlined R package to preprocess, analyze, and visualize metabolomic data. We included a set of functions for sample and metabolite quality control, outlier detection, missing value imputation, dimensional reduction, normalization, data integration, regression analysis, annotation, enrichment analysis, and visualization of data and results. The metabolomicsR is designed to be a comprehensive R package that can be easily used by researchers with basic R programming skills. The framework designed here is also versatile and extensible to various methods and metabolomic platforms.

Seamless workflow to preprocess, analyze, and visualize metabolomics data in metabolomicsR


How to cite metabolomicsR:

Han, Xikun, and Liming Liang. 2022. “metabolomicsR: A Streamlined Workflow to Analyze Metabolomic Data in R.” Bioinformatics Advances 2 (1): vbac067. https://doi.org/10.1093/bioadv/vbac067


Contact:

Xikun Han maintains this package.