MetaboLink: a web application for streamlined processing and analysis of large-scale untargeted metabolomics data

Area of Science:

• * Metabolomics
• * Bioinformatics
• * Data Analysis

Background:

• * Large-scale untargeted metabolomics data analysis presents challenges in correction, filtration, imputation, and normalization.
• * Manual processing is inefficient, error-prone, and inconsistent.

Purpose of the Study:

• * To introduce MetaboLink, a novel web application for processing LC-MS metabolomics data.
• * To provide a flexible and user-friendly solution for complex data analysis.

Main Methods:

• * Development of a web application integrating established metabolomics data processing methodologies.
• * Incorporation of visualization tools for data interpretation.
• * Integration with PolySTest for statistical testing and VSClust for clustering analysis.

Main Results:

• * MetaboLink offers a streamlined workflow for LC-MS metabolomics data processing.
• * The application provides enhanced data interpretation through visualization and statistical integration.
• * It addresses inefficiencies and errors associated with manual data handling.

Conclusions:

• * MetaboLink provides a robust and accessible platform for untargeted metabolomics data analysis.
• * The tool facilitates more efficient, accurate, and consistent processing of LC-MS datasets.
• * It supports researchers in gaining deeper insights from complex metabolomic data.