
Metabolomics Without Code: From Raw Data to Biomarker
Discover Disease Biomarkers • Decode Metabolic Signatures • Advance Precision Medicine
Skills you will gain:
About Workshop:
This 3-day intensive online workshop provides a hands-on introduction to metabolomics-based biomarker discovery and precision medicine using free web platforms. Tailored for students, researchers, clinicians, and industry professionals, the program covers the entire workflow from data exploration and statistical analysis to pathway enrichment and biological interpretation.
No programming knowledge is required.
Aim: This workshop aims to provide participants with a practical understanding of metabolomics data analysis for biomarker discovery and precision medicine through hands-on online sessions. Participants will learn how to explore metabolomics datasets, perform statistical analysis, identify significant metabolites, and interpret metabolic pathways using user-friendly online tools without requiring programming skills.
Workshop Objectives:
- 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.
What you will learn?
📅 Day 1: Introduction to Metabolomics & Data Exploration
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Fundamentals of metabolomics, analytical platforms (LC-MS/GC-MS/NMR), and applications in precision medicine.
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Biomarker discovery workflows, study design selection, and understanding raw vs. processed data types.
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Overview of public metabolomics repositories including MetaboLights and Metabolomics Workbench.
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Hands-on Session: Explore, browse, and download disease-related metabolomics datasets from public repositories. Interpret experimental metadata, identify study groups, and structure baseline datasets using Microsoft Excel.
📅 Day 2: Statistical Analysis & Metabolite Profiling
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Standard workflows for data quality assessment, handling missing values, normalization, and transformation.
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Understanding statistical significance, metabolic variation, and fold change analysis in disease states.
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Theory behind Principal Component Analysis (PCA), volcano plots, and hierarchical clustering heatmaps.
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Hands-on Session: Perform statistical analysis, generate PCA clustering, and build volcano plots using MetaboAnalyst. Then run a pre-built Google Colab notebook that reproduces PCA and volcano plots in Python. Construct and interpret a differential expression heatmap using ClustVis or a pre-built Excel template.
📅 Day 3: Pathway Analysis, Biomarkers & Precision Medicine
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Metabolite identification, annotation strategies, and functional pathway enrichment analysis.
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Biomarker selection strategies, case studies, and interpreting Receiver Operating Characteristic (ROC) curves.
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Mapping metabolic networks using KEGG and Reactome to generate publication-quality biological figures.
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Hands-on Session: Query unknown compounds in the Human Metabolome Database (HMDB), map biological pathways using KEGG Mapper, execute pathway enrichment in MetaboAnalyst, and design a custom biological network diagram using a BioRender template
Mentor Profile
Fee Plan
Important Dates
30 Sep 2026 Indian Standard Timing 3:30 PM IST
30 Sep 2026 to 02 Oct 2026 Indian Standard Timing 4:00 PM
Get an e-Certificate of Participation!

Intended For :
This workshop is designed for Biotechnology, Life Science, Biochemistry, Biomedical Science, Pharmacy, and Medical students, along with Research Scholars, Faculty Members, Clinical Researchers, Pharmaceutical Professionals, Healthcare Researchers, and Industry Scientists.
Career Supporting Skills
Workshop Outcomes
After completing this workshop, participants will be able to:
- 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.
