metabolomicsR: a streamlined workflow to analyze metabolomic data in R

Bioinform Adv. 2022 Sep 16;2(1):vbac067. doi: 10.1093/bioadv/vbac067. eCollection 2022.ABSTRACTSUMMARY: 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.PMID:36177485 | PMC:PMC9512519 | DOI:10.1093/bioadv/vbac067

Source: Adv Data - September 30, 2022 Category: Epidemiology Authors: Xikun Han Liming Liang Source Type: research