MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data

By Jasmine Chong, Jianguo Xia. Bioinform., 2018

677 citations recorded by the source corpus.

Summary: The MetaboAnalyst web application has been widely used for metabolomics data analysis and interpretation. Despite its user‐friendliness, the web interface has presented its inherent limitations (especially for advanced users) with regard to flexibility in creating customized workflow, support for reproducible analysis, and capacity in dealing with large data. To address these limitations, we have developed a companion R package (MetaboAnalystR) based on the R code base of the web server. The package has been thoroughly tested to ensure that the same R commands will produce identical results from both interfaces. MetaboAnalystR complements the MetaboAnalyst web server to facilitate transparent, flexible and reproducible analysis of metabolomics data. Availability and implementation: MetaboAnalystR is freely available from https://github.com/xia‐lab/MetaboAnalystR.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/1cc4566ad023f7eb1f00250f73018b3de1bbd179

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

In Spectroscopy

Citations in the corpus

MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics (2020, methodology): “To support the broad R user community, previous versions of MetaboAnalystR [5,23] implemented mummichog v1.”
Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis (2019, methodology): “To address these issues, we have developed MetaboAnalystR (Chong et al., 2019; Chong & Xia, 2018)—a companion R package based on the R codebase underlying the MetaboAnalyst web server.”