Metabolomics Data Analysis for Biomarker Discovery and Precision Medicine

• Introduce the fundamentals of metabolomics.
• Demonstrate metabolomics data analysis workflows.
• Train participants in statistical interpretation of metabolomics data.
• Teach metabolite identification using online databases.
• Perform pathway enrichment and biomarker discovery.
• Explain the application of metabolomics in precision medicine.
• Develop practical skills using web-based metabolomics tools.

📅 Day 1: Introduction to Metabolomics & Data Exploration

• Fundamentals of metabolomics, analytical platforms (LC-MS/GC-MS/NMR), and applications in precision medicine.
• Biomarker discovery workflows, study design selection, and understanding raw vs. processed data types.
• Overview of public metabolomics repositories including MetaboLights and Metabolomics Workbench.
• Hands-on Session 1: Explore, browse, and download disease-related metabolomics datasets from public repositories.
• Hands-on Session 2: Interpret experimental metadata, identify study groups, and structure baseline datasets using Microsoft Excel.

📅 Day 2: Statistical Analysis & Metabolite Profiling

• Standard workflows for data quality assessment, handling missing values, normalization, and transformation.
• Understanding statistical significance, metabolic variation, and fold change analysis in disease states.
• Theory behind Principal Component Analysis (PCA), volcano plots, and hierarchical clustering heatmaps.
• Hands-on Session 1: Perform statistical analysis, generate PCA clustering, and build volcano plots using MetaboAnalyst.
• Hands-on Session 2: Construct and interpret differential expression heatmaps using ClustVis and Excel tools.

📅 Day 3: Pathway Analysis, Biomarkers & Precision Medicine

• Metabolite identification, annotation strategies, and functional pathway enrichment analysis.
• Biomarker selection strategies, case studies, and interpreting Receiver Operating Characteristic (ROC) curves.
• Mapping metabolic networks using KEGG and Reactome to generate publication-quality biological figures.
• Hands-on Session 1: Query unknown compounds in the Human Metabolome Database (HMDB) and map biological pathways using KEGG Mapper.
• Hands-on Session 2: Execute pathway enrichment in MetaboAnalyst and design custom biological network diagrams using BioRender.

• Understand metabolomics workflows and applications.
• Explore and interpret metabolomics datasets.
• Perform statistical analysis using online platforms.
• Identify significant metabolites.
• Conduct pathway enrichment analysis.
• Interpret metabolomics results for biomarker discovery.
• Understand the role of metabolomics in precision medicine.
• Generate publication-ready biological visualizations.

• Live Online Practical Sessions
• Hands-on Exercises
• Metabolomics Analysis Workflow
• Biomarker Discovery Workflow
• Pathway Analysis Guide
• Certificate of Participation