Metabolomics Without Code: From Raw Data to Biomarker
Discover Disease Biomarkers • Decode Metabolic Signatures • Advance Precision Medicine
About This Course
Metabolomics is transforming precision medicine , but the gap between raw data and meaningful biological insight remains the biggest bottleneck for researchers.
This 3-day international workshop bridges that gap. You will learn to take real disease-related metabolomics data, clean and analyze it, identify candidate biomarkers, and interpret results in a biological context : all using free, browser-based tools that require no coding and no installation.
Unlike theoretical courses, every session is hands-on. You will work with real published datasets from MetaboLights and Metabolomics Workbench, use MetaboAnalyst (the industry-standard free platform), and leave with tangible outputs: PCA plots, volcano plots, heatmaps, pathway enrichment maps, and ROC curves that you can apply immediately in your own research.
Whether you are a biologist, clinician, pharmacist, or computational researcher, this workshop gives you a complete, reproducible workflow for biomarker discovery , from raw data to biological interpretation.
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.
Workshop Structure
📅 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, and raw vs. processed data types
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How to navigate public repositories: MetaboLights and Metabolomics Workbench
🛠️ Hands-on Session: Explore a Real Disease Dataset
Tools: MetaboLights, Metabolomics Workbench, Google Sheets
Browse and download a disease-related metabolomics dataset from public repositories, then interpret experimental metadata and structure the baseline dataset in Google Sheets
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Identify study groups, sample counts, and key variables ready for downstream analysis
📅 Day 2: Statistical Analysis & Metabolite Profiling
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Standard workflows for data quality assessment, missing value handling, normalization, and transformation
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Statistical significance, fold change analysis, and metabolic variation in disease states
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Theory behind PCA, volcano plots, and hierarchical clustering heatmaps
🛠️ Hands-on Session : From Raw Data to Publication-Ready Plots
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Perform complete statistical analysis in MetaboAnalyst to generate PCA clustering, volcano plots, and a differential heatmap : no coding, no installation
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Optional Bonus: Run a pre-built Google Colab notebook that reproduces the same PCA and volcano plots in Python (self-paced, no prior coding needed)
📅 Day 3: Pathway Analysis, Biomarkers & Precision Medicine
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Metabolite identification, annotation strategies, and functional pathway enrichment
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Biomarker selection strategies, case studies, and interpreting ROC curves
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Mapping metabolic networks using KEGG and Reactome
🛠️ Hands-on Session : Build a Biomarker Discovery Pipeline
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Query unknown compounds in the Human Metabolome Database (HMDB) and map biological pathways using KEGG Mapper
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Execute pathway enrichment in MetaboAnalyst and generate a ROC curve for top biomarker candidates
Who Should Enrol?
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.
Important Dates
Registration Ends
September 30, 2026
IST 3:30 PM IST
Workshop Dates
September 30, 2026 – October 2, 2026
IST 4:00 PM
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.
Fee Structure
Student Fee
₹1999 | $65
Ph.D. Scholar / Researcher Fee
₹2999 | $75
Academician / Faculty Fee
₹3999 | $85
Industry Professional Fee
₹4999 | $100
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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