Course details

OriGene Biosolutions is a premier life science research and training organization dedicated to advancing bioinformatics and data analysis. Tailored solutions for your bioinformatics needs.

Certificate Course in Bioinformatics Approaches to Metabolomics: KEGG & Cytoscape Focus


Level
Intermediate
Duration
1 Month | 8 hours per week
Flexible Schedule
Learn from anywhere.
Modules
4
Capsote Project
Real-world project with publication.
Computational Biology

Members
Rs.7,500
Non-Members
Rs.10,000
About membership

Course Modules

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  • Overview of metabolomics and metabolic pathways
  • Types of metabolomics data: targeted vs untargeted
  • Introduction to the KEGG database: maps, compounds, modules
  • Hands-on: Navigating KEGG Pathways (manual mapping)

  • Tools for metabolite annotation (HMDB, METLIN, KEGG COMPOUND)
  • Converting metabolite names/IDs into KEGG IDs
  • Pathway enrichment tools: KEGG Mapper, MetaboAnalyst pathway analysis
  • Hands-on: Uploading metabolite lists to KEGG Mapper & analyzing enriched pathways

  • Introduction to biological networks and Cytoscape
  • Cytoscape interface and workflow (nodes, edges, styles)
  • Importing KEGG/STRING pathways into Cytoscape
  • Hands-on: Constructing and customizing a metabolic pathway network

  • Visualizing multi-omics data (genes + metabolites) in Cytoscape
  • Using plugins: ClueGO, MetScape, KEGGScape
  • Biological interpretation: identifying key hubs and bottlenecks
  • Capstone mini-project: Build a metabolic pathway network using real metabolite data and annotate key nodes via KEGG and Cytoscape
Course Overview
This course offers a specialized bioinformatics-driven approach to metabolomics, with an emphasis on KEGG pathway mapping and Cytoscape-based network visualization. Learners will gain practical experience in analyzing metabolomics data, identifying metabolites, and integrating them into biological pathways and interaction networks.
What You'll Learn
  • Basics of metabolomics data and annotation
  • KEGG pathway navigation and enrichment analysis
  • Metabolite-to-pathway mapping and biological interpretation
  • Network construction and visualization using Cytoscape
  • Integration of gene/metabolite/protein data into pathway-level insights
  • Who Can Register
    UG/PG life science students, PhD researchers, bioinformatics trainees, and professionals working in molecular biology, systems biology, or omics research.
    Prerequisites
  • Basic understanding of metabolic pathways and molecular biology
  • Some exposure to omics data formats (metabolite IDs, pathways)
  • No coding required (Cytoscape is GUI-based)