About the Ppi Network Analysis Course
Program Highlights
Course Curriculum
Module 1: Day 1 – Introduction to PPI Networks & STRING
- Understand systems‑biology concepts and the role of PPI databases
- Search and filter protein interactions in STRING
- Import data into Cytoscape and visualise basic networks
Module 2: Day 2 – Hub Protein & Biomarker Discovery
- Analyze network topology with NetworkAnalyzer
- Identify hub genes using CytoHubba
- Prioritise potential biomarkers based on centrality metrics
Module 3: Day 3 – Functional Enrichment & Regulatory Analysis
- Perform GO enrichment with gProfiler
- Identify pathways via KEGG & Reactome
- Explore transcription‑factor and miRNA interactions using Gen‑TF and public databases
Tools, Techniques, or Platforms Covered
Cytoscape
CytoHubba
NetworkAnalyzer
gProfiler
KEGG
Reactome
Gen‑TF
miRNA interaction databases
Real-World Applications
- Apply Hands skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical bioinformatics competencies
- Solve industry-relevant problems using Hands methodologies and tools
- Contribute to open-source projects and collaborative research in bioinformatics
- Prepare for competitive examinations, interviews, and professional certifications in bioinformatics
Who Should Attend & Prerequisites
- Industry‑recognized e‑Certification + e‑Marksheet from NSTC
- Hands‑on training with practical projects and real‑world datasets
- Dedicated expert mentorship and doubt‑resolution throughout the course
Prerequisites:







