MeTEor: A New R Shiny App for Longitudinal Metabolomics Analysis

The Peter L. Reichertz Institute for Medical Informatics has developed MeTEor (MEtabolite Trajectory ExplORer), an R Shiny app designed to simplify the analysis of longitudinal metabolomics data. MeTEor addresses challenges such as data complexity and temporal variability, providing researchers with accessible tools for exploring time-series omics datasets without requiring advanced programming expertise.

To demonstrate its potential, MeTEor was applied to a COVID-19 metabolomics dataset, successfully identifying significant metabolites and providing insights into disease outcome predictions. These results showcase the app’s utility for addressing complex research questions in real-world scenarios. MeTEor is available as an open-source R package and Docker image. Installation instructions and source code are accessible on GitHub. Future updates will focus on expanding functionality and improving integration into existing workflows.

Read the whole paper at Bioinformaticsadvances. for more detailed information.