Network analysis of Protein- Protein Interaction Data

• Understand the basics and importance of PPIN in biological research.
• Learn network representation and topological analysis techniques.
• Explore various data sources and databases for PPI analysis.
• Perform annotation enrichment and advanced analysis using Cytoscape.
• Apply PPIN concepts in health, medicine, and research innovation.

Day 1 

• Introduction to Protein-Protein Interaction Networks (PPIN)
• Relevance of Protein-Protein Interaction Networks (PPIN) in health and medicine
• Properties of Protein-Protein Interaction Networks (PPIN)

Day 2 

• Network representation and analysis tools
• Sources of PPI data, databases
• Topological Protein-Protein Interaction Networks (PPIN) analysis
• Annotation enrichment analysis

Day 3

• Advanced Cytoscape and its Modules
• PINA Server
• Protein Prompt

• Ability to analyze and interpret PPIN data.
• Proficiency in using Cytoscape and PINA server.
• Understanding of network topology and annotation enrichment.
• Knowledge of key databases and data sources for PPI.
• Hands-on experience with PPIN tools and real-world applications.

• Undergraduate degree in Life Sciences, Biotechnology, Bioinformatics, or related fields.
• Postgraduates and researchers in computational biology, molecular biology, or systems biology.
• Professionals in the pharmaceutical, biotech, or healthcare sectors.
• Individuals keen on exploring network biology for research and industry applications.

• Fundamentals of Protein-Protein Interaction Networks.
• Relevance of PPIN in health and medicine.
• Tools and techniques for network representation and analysis.
• Insights into topological and annotation enrichment analysis.
• Advanced functionalities of Cytoscape and related modules.