Discover Disease Biomarkers • Decode Metabolic Signatures • Advance Precision Medicine
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.
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.
Fundamentals of metabolomics, analytical platforms (LC-MS/GC-MS/NMR), and applications in precision medicine
Biomarker discovery workflows, study design, and raw vs. processed data types
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
Identify study groups, sample counts, and key variables ready for downstream analysis
Standard workflows for data quality assessment, missing value handling, normalization, and transformation
Statistical significance, fold change analysis, and metabolic variation in disease states
Theory behind PCA, volcano plots, and hierarchical clustering heatmaps
🛠️ Hands-on Session : From Raw Data to Publication-Ready Plots
Perform complete statistical analysis in MetaboAnalyst to generate PCA clustering, volcano plots, and a differential heatmap : no coding, no installation
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)
Metabolite identification, annotation strategies, and functional pathway enrichment
Biomarker selection strategies, case studies, and interpreting ROC curves
Mapping metabolic networks using KEGG and Reactome
🛠️ Hands-on Session : Build a Biomarker Discovery Pipeline
Query unknown compounds in the Human Metabolome Database (HMDB) and map biological pathways using KEGG Mapper
Execute pathway enrichment in MetaboAnalyst and generate a ROC curve for top biomarker candidates
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.
September 30, 2026
IST 3:30 PM IST
September 30, 2026 – October 2, 2026
IST 4:00 PM
After completing this workshop, participants will be able to:
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
