MetaboLink

MetaboLink processes and standardizes large-scale untargeted LC-MS metabolomics data for downstream statistical analysis and clustering.

Key Features:

• Streamlined Workflow: Integrates established methodologies for processing LC-MS metabolomics datasets and automates correction, filtration, imputation, and normalization steps.
• Data Visualization: Provides robust visualization options to facilitate interpretation of metabolomics data.
• Statistical Testing Interface: Includes an interface for conducting statistical tests on processed metabolomics data.
• PolySTest Integration: Enables further statistical testing through integration with PolySTest.
• VSClust Integration: Integrates VSClust to perform clustering analysis and identify patterns in metabolomics data.

Scientific Applications:

• Large-scale untargeted metabolomics: Supports processing and post-processing of large-scale untargeted LC-MS metabolomics datasets.
• Biomarker discovery: Facilitates biomarker discovery by providing standardized preprocessing and statistical testing workflows.
• Metabolic pathway analysis: Supplies normalized and filtered metabolite data suitable for metabolic pathway analysis.
• Systems biology: Enables systems biology studies by combining preprocessing, statistical testing, and clustering analyses.

Methodology:

Automated correction, filtration, imputation, and normalization of LC-MS metabolomics data, with integration of PolySTest for statistical testing and VSClust for clustering analysis.