Programme Parameters
Advanced Postgrad
3 Days (4.5 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Hands‑on PPI Network Analysis for Biomarker Identification using Cytoscape & STRING is a 3‑day mentor‑led bioinformatics program that teaches you how to build, explore and interpret protein‑protein interaction networks to uncover hub genes and potential disease biomarkers. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Hands‑on PPI Network Analysis for Biomarker Identification using Cytoscape & STRING is a 3‑day mentor‑led bioinformatics program that teaches you how to build, explore and interpret protein‑protein interaction networks to uncover hub genes and potential disease biomarkers.
📋 Course Objectives
1. Apply biotechnology methods to authentic research and industry problems.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• A portfolio-grade biotechnology deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
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
Day 2 – Hub Protein & Biomarker Discovery
Analyze network topology with NetworkAnalyzer • Identify hub genes using CytoHubba • Prioritise potential biomarkers based on centrality metrics
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
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | STRING Database |
| Covered Tool / Platform | Cytoscape |
| Covered Tool / Platform | CytoHubba |
| Covered Tool / Platform | NetworkAnalyzer |
| Covered Tool / Platform | gProfiler |
| Covered Tool / Platform | KEGG |
| Covered Tool / Platform | Reactome |
| Covered Tool / Platform | Gen‑TF |
| Covered Tool / Platform | miRNA interaction databases |
Frequently Asked Questions
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