Rodin: a streamlined metabolomics data analysis and visualization tool.

ABSTRACT:

Summary

Recent advances in high-resolution mass spectrometry have revolutionized metabolomics, enabling the profiling of hundreds of thousands of metabolic features in a single experiment, with widespread applications across health sciences. To streamline analysis of metabolomics data, we developed Rodin, a Python-based application offering fast, efficient processing of large datasets via a web interface or programming library. Rodin integrates multiple stages of analysis, including feature preprocessing, statistical testing, interactive visualizations, and pathway analysis, generating outputs while tracking user-defined parameters within a single page. By enhancing the accessibility of tools for metabolomics data analysis, Rodin not only streamlines the workflow but also enhances

SUBMITTER: Minasenko B 

PROVIDER: S-EPMC12034380 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature